android中图片色调识别探究

项目背景

最近项目组要做这样的一件事,通过访问网站拿到网站的favicon来根据favicon匹配它的颜色,色调然后调用我们自己的绘图板去绘制符合当前网站的图标,当时也在github上面找了下,看看有没有现成能借鉴的,但是失败了,但是无意间发现了android的v7下的palette包,貌似可以实现我想要的效果,但是项目里面不可能引入其他的依赖包,因为v7引用到了v4,一想到我的apk又要增加几十k果断的不干了,所以我就把v7的里面的源码拿出来改了改,然后v4里面的需要的也单独的剥离出来,这样即达到了我需要的效果,也没有给我的apk增加太多的大小。

效果

我们这里先看看我要实现的效果,这里写图片描述这里写图片描述我们要提取这两个icon里面的主色调,然后看看我们提取的效果,android中图片色调识别探究_第1张图片
fuck,你在逗我?怎么会有红色呢?不急不急,听我慢慢道来。

实现

首先我们要做的就是移植v7这个包下面的pattern包,看看我的工程目录,需要移植的就是这几个类。android中图片色调识别探究_第2张图片
我这里也不墨迹了,直接上代码吧,google的注释都是很到位的,也很nice我也不说了,我做的工作就是把这几个类整合提取出来,然后屏蔽一些兼容的问题。这里我先给出这几个类的代码。

package com.bobo.picdis.utils;

/*
 * Copyright 2014 The Android Open Source Project
 *
 * Licensed under the Apache License, Version 2.0 (the "License");
 * you may not use this file except in compliance with the License.
 * You may obtain a copy of the License at
 *
 *       http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing, software
 * distributed under the License is distributed on an "AS IS" BASIS,
 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 * See the License for the specific language governing permissions and
 * limitations under the License.
 */


import android.graphics.Bitmap;
import android.graphics.Color;
import android.util.SparseIntArray;

import com.bobo.picdis.utils.Palette.Swatch;

import java.util.ArrayList;
import java.util.Arrays;
import java.util.Collection;
import java.util.Comparator;
import java.util.List;
import java.util.PriorityQueue;

/**
 * An color quantizer based on the Median-cut algorithm, but optimized for picking out distinct
 * colors rather than representation colors.
 *
 * The color space is represented as a 3-dimensional cube with each dimension being an RGB
 * component. The cube is then repeatedly divided until we have reduced the color space to the
 * requested number of colors. An average color is then generated from each cube.
 *
 * What makes this different to median-cut is that median-cut divided cubes so that all of the cubes
 * have roughly the same population, where this quantizer divides boxes based on their color volume.
 * This means that the color space is divided into distinct colors, rather than representative
 * colors.
 */
final class ColorCutQuantizer {

    private static final String LOG_TAG = ColorCutQuantizer.class.getSimpleName();

    private final float[] mTempHsl = new float[3];

    private static final float BLACK_MAX_LIGHTNESS = 0.05f;
    private static final float WHITE_MIN_LIGHTNESS = 0.95f;

    private static final int COMPONENT_RED = -3;
    private static final int COMPONENT_GREEN = -2;
    private static final int COMPONENT_BLUE = -1;

    private final int[] mColors;
    private final SparseIntArray mColorPopulations;

    private final List mQuantizedColors;

    /**
     * Factory-method to generate a {@link ColorCutQuantizer} from a {@link Bitmap} object.
     *
     * @param bitmap Bitmap to extract the pixel data from
     * @param maxColors The maximum number of colors that should be in the result palette.
     */
    static ColorCutQuantizer fromBitmap(Bitmap bitmap, int maxColors) {
        final int width = bitmap.getWidth();
        final int height = bitmap.getHeight();

        final int[] pixels = new int[width * height];
        bitmap.getPixels(pixels, 0, width, 0, 0, width, height);

        return new ColorCutQuantizer(new ColorHistogram(pixels), maxColors);
    }

    /**
     * Private constructor.
     *
     * @param colorHistogram histogram representing an image's pixel data
     * @param maxColors The maximum number of colors that should be in the result palette.
     */
    private ColorCutQuantizer(ColorHistogram colorHistogram, int maxColors) {
        final int rawColorCount = colorHistogram.getNumberOfColors();
        final int[] rawColors = colorHistogram.getColors();
        final int[] rawColorCounts = colorHistogram.getColorCounts();

        // First, lets pack the populations into a SparseIntArray so that they can be easily
        // retrieved without knowing a color's index
        mColorPopulations = new SparseIntArray(rawColorCount);
        for (int i = 0; i < rawColors.length; i++) {
            mColorPopulations.append(rawColors[i], rawColorCounts[i]);
        }

        // Now go through all of the colors and keep those which we do not want to ignore
        mColors = new int[rawColorCount];
        int validColorCount = 0;
        for (int color : rawColors) {
            if (!shouldIgnoreColor(color)) {
                mColors[validColorCount++] = color;
            }
        }

        if (validColorCount <= maxColors) {
            // The image has fewer colors than the maximum requested, so just return the colors
            mQuantizedColors = new ArrayList();
            for (final int color : mColors) {
                mQuantizedColors.add(new Swatch(color, mColorPopulations.get(color)));
            }
        } else {
            // We need use quantization to reduce the number of colors
            mQuantizedColors = quantizePixels(validColorCount - 1, maxColors);
        }
    }

    /**
     * @return the list of quantized colors
     */
    List getQuantizedColors() {
        return mQuantizedColors;
    }

    private List quantizePixels(int maxColorIndex, int maxColors) {
        // Create the priority queue which is sorted by volume descending. This means we always
        // split the largest box in the queue
        final PriorityQueue pq = new PriorityQueue(maxColors, VBOX_COMPARATOR_VOLUME);

        // To start, offer a box which contains all of the colors
        pq.offer(new Vbox(0, maxColorIndex));

        // Now go through the boxes, splitting them until we have reached maxColors or there are no
        // more boxes to split
        splitBoxes(pq, maxColors);

        // Finally, return the average colors of the color boxes
        return generateAverageColors(pq);
    }

    /**
     * Iterate through the {@link java.util.Queue}, popping
     * {@link ColorCutQuantizer.Vbox} objects from the queue
     * and splitting them. Once split, the new box and the remaining box are offered back to the
     * queue.
     *
     * @param queue {@link java.util.PriorityQueue} to poll for boxes
     * @param maxSize Maximum amount of boxes to split
     */
    private void splitBoxes(final PriorityQueue queue, final int maxSize) {
        while (queue.size() < maxSize) {
            final Vbox vbox = queue.poll();

            if (vbox != null && vbox.canSplit()) {
                // First split the box, and offer the result
                queue.offer(vbox.splitBox());
                // Then offer the box back
                queue.offer(vbox);
            } else {
                // If we get here then there are no more boxes to split, so return
                return;
            }
        }
    }

    private List generateAverageColors(Collection vboxes) {
        ArrayList colors = new ArrayList(vboxes.size());
        for (Vbox vbox : vboxes) {
            Swatch color = vbox.getAverageColor();
            if (!shouldIgnoreColor(color)) {
                // As we're averaging a color box, we can still get colors which we do not want, so
                // we check again here
                colors.add(color);
            }
        }
        return colors;
    }

    /**
     * Represents a tightly fitting box around a color space.
     */
    private class Vbox {
        // lower and upper index are inclusive
        private int mLowerIndex;
        private int mUpperIndex;

        private int mMinRed, mMaxRed;
        private int mMinGreen, mMaxGreen;
        private int mMinBlue, mMaxBlue;

        Vbox(int lowerIndex, int upperIndex) {
            mLowerIndex = lowerIndex;
            mUpperIndex = upperIndex;
            fitBox();
        }

        int getVolume() {
            return (mMaxRed - mMinRed + 1) * (mMaxGreen - mMinGreen + 1) *
                    (mMaxBlue - mMinBlue + 1);
        }

        boolean canSplit() {
            return getColorCount() > 1;
        }

        int getColorCount() {
            return mUpperIndex - mLowerIndex + 1;
        }

        /**
         * Recomputes the boundaries of this box to tightly fit the colors within the box.
         */
        void fitBox() {
            // Reset the min and max to opposite values
            mMinRed = mMinGreen = mMinBlue = 0xFF;
            mMaxRed = mMaxGreen = mMaxBlue = 0x0;

            for (int i = mLowerIndex; i <= mUpperIndex; i++) {
                final int color = mColors[i];
                final int r = Color.red(color);
                final int g = Color.green(color);
                final int b = Color.blue(color);
                if (r > mMaxRed) {
                    mMaxRed = r;
                }
                if (r < mMinRed) {
                    mMinRed = r;
                }
                if (g > mMaxGreen) {
                    mMaxGreen = g;
                }
                if (g < mMinGreen) {
                    mMinGreen = g;
                }
                if (b > mMaxBlue) {
                    mMaxBlue = b;
                }
                if (b < mMinBlue) {
                    mMinBlue = b;
                }
            }
        }

        /**
         * Split this color box at the mid-point along it's longest dimension
         *
         * @return the new ColorBox
         */
        Vbox splitBox() {
            if (!canSplit()) {
                throw new IllegalStateException("Can not split a box with only 1 color");
            }

            // find median along the longest dimension
            final int splitPoint = findSplitPoint();

            Vbox newBox = new Vbox(splitPoint + 1, mUpperIndex);

            // Now change this box's upperIndex and recompute the color boundaries
            mUpperIndex = splitPoint;
            fitBox();

            return newBox;
        }

        /**
         * @return the dimension which this box is largest in
         */
        int getLongestColorDimension() {
            final int redLength = mMaxRed - mMinRed;
            final int greenLength = mMaxGreen - mMinGreen;
            final int blueLength = mMaxBlue - mMinBlue;

            if (redLength >= greenLength && redLength >= blueLength) {
                return COMPONENT_RED;
            } else if (greenLength >= redLength && greenLength >= blueLength) {
                return COMPONENT_GREEN;
            } else {
                return COMPONENT_BLUE;
            }
        }

        /**
         * Finds the point within this box's lowerIndex and upperIndex index of where to split.
         *
         * This is calculated by finding the longest color dimension, and then sorting the
         * sub-array based on that dimension value in each color. The colors are then iterated over
         * until a color is found with at least the midpoint of the whole box's dimension midpoint.
         *
         * @return the index of the colors array to split from
         */
        int findSplitPoint() {
            final int longestDimension = getLongestColorDimension();

            // We need to sort the colors in this box based on the longest color dimension.
            // As we can't use a Comparator to define the sort logic, we modify each color so that
            // it's most significant is the desired dimension
            modifySignificantOctet(longestDimension, mLowerIndex, mUpperIndex);

            // Now sort... Arrays.sort uses a exclusive toIndex so we need to add 1
            Arrays.sort(mColors, mLowerIndex, mUpperIndex + 1);

            // Now revert all of the colors so that they are packed as RGB again
            modifySignificantOctet(longestDimension, mLowerIndex, mUpperIndex);

            final int dimensionMidPoint = midPoint(longestDimension);

            for (int i = mLowerIndex; i <= mUpperIndex; i++)  {
                final int color = mColors[i];

                switch (longestDimension) {
                    case COMPONENT_RED:
                        if (Color.red(color) >= dimensionMidPoint) {
                            return i;
                        }
                        break;
                    case COMPONENT_GREEN:
                        if (Color.green(color) >= dimensionMidPoint) {
                            return i;
                        }
                        break;
                    case COMPONENT_BLUE:
                        if (Color.blue(color) > dimensionMidPoint) {
                            return i;
                        }
                        break;
                }
            }

            return mLowerIndex;
        }

        /**
         * @return the average color of this box.
         */
        Swatch getAverageColor() {
            int redSum = 0;
            int greenSum = 0;
            int blueSum = 0;
            int totalPopulation = 0;

            for (int i = mLowerIndex; i <= mUpperIndex; i++) {
                final int color = mColors[i];
                final int colorPopulation = mColorPopulations.get(color);

                totalPopulation += colorPopulation;
                redSum += colorPopulation * Color.red(color);
                greenSum += colorPopulation * Color.green(color);
                blueSum += colorPopulation * Color.blue(color);
            }

            final int redAverage = Math.round(redSum / (float) totalPopulation);
            final int greenAverage = Math.round(greenSum / (float) totalPopulation);
            final int blueAverage = Math.round(blueSum / (float) totalPopulation);

            return new Swatch(redAverage, greenAverage, blueAverage, totalPopulation);
        }

        /**
         * @return the midpoint of this box in the given {@code dimension}
         */
        int midPoint(int dimension) {
            switch (dimension) {
                case COMPONENT_RED:
                default:
                    return (mMinRed + mMaxRed) / 2;
                case COMPONENT_GREEN:
                    return (mMinGreen + mMaxGreen) / 2;
                case COMPONENT_BLUE:
                    return (mMinBlue + mMaxBlue) / 2;
            }
        }
    }

    /**
     * Modify the significant octet in a packed color int. Allows sorting based on the value of a
     * single color component.
     *
     * @see Vbox#findSplitPoint()
     */
    private void modifySignificantOctet(final int dimension, int lowerIndex, int upperIndex) {
        switch (dimension) {
            case COMPONENT_RED:
                // Already in RGB, no need to do anything
                break;
            case COMPONENT_GREEN:
                // We need to do a RGB to GRB swap, or vice-versa
                for (int i = lowerIndex; i <= upperIndex; i++) {
                    final int color = mColors[i];
                    mColors[i] = Color.rgb((color >> 8) & 0xFF, (color >> 16) & 0xFF, color & 0xFF);
                }
                break;
            case COMPONENT_BLUE:
                // We need to do a RGB to BGR swap, or vice-versa
                for (int i = lowerIndex; i <= upperIndex; i++) {
                    final int color = mColors[i];
                    mColors[i] = Color.rgb(color & 0xFF, (color >> 8) & 0xFF, (color >> 16) & 0xFF);
                }
                break;
        }
    }

    private boolean shouldIgnoreColor(int color) {
        ColorUtils.RGBtoHSL(Color.red(color), Color.green(color), Color.blue(color), mTempHsl);
        return shouldIgnoreColor(mTempHsl);
    }

    private static boolean shouldIgnoreColor(Swatch color) {
        return shouldIgnoreColor(color.getHsl());
    }

    private static boolean shouldIgnoreColor(float[] hslColor) {
        return isWhite(hslColor) || isBlack(hslColor) || isNearRedILine(hslColor);
    }

    /**
     * @return true if the color represents a color which is close to black.
     */
    private static boolean isBlack(float[] hslColor) {
        return hslColor[2] <= BLACK_MAX_LIGHTNESS;
    }

    /**
     * @return true if the color represents a color which is close to white.
     */
    private static boolean isWhite(float[] hslColor) {
        return hslColor[2] >= WHITE_MIN_LIGHTNESS;
    }

    /**
     * @return true if the color lies close to the red side of the I line.
     */
    private static boolean isNearRedILine(float[] hslColor) {
        return hslColor[0] >= 10f && hslColor[0] <= 37f && hslColor[1] <= 0.82f;
    }

    /**
     * Comparator which sorts {@link Vbox} instances based on their volume, in descending order
     */
    private static final Comparator VBOX_COMPARATOR_VOLUME = new Comparator() {
        @Override
        public int compare(Vbox lhs, Vbox rhs) {
            return rhs.getVolume() - lhs.getVolume();
        }
    };

}

然后是ColorHistogram这个类

package com.bobo.picdis.utils;
/*
 * Copyright 2014 The Android Open Source Project
 *
 * Licensed under the Apache License, Version 2.0 (the "License");
 * you may not use this file except in compliance with the License.
 * You may obtain a copy of the License at
 *
 *       http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing, software
 * distributed under the License is distributed on an "AS IS" BASIS,
 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 * See the License for the specific language governing permissions and
 * limitations under the License.
 */

import java.util.Arrays;

/**
 * Class which provides a histogram for RGB values.
 */
final class ColorHistogram {

    private final int[] mColors;
    private final int[] mColorCounts;
    private final int mNumberColors;

    /**
     * A new {@link ColorHistogram} instance.
     *
     * @param pixels array of image contents
     */
    ColorHistogram(final int[] pixels) {
        // Sort the pixels to enable counting below
        Arrays.sort(pixels);

        // Count number of distinct colors
        mNumberColors = countDistinctColors(pixels);

        // Create arrays
        mColors = new int[mNumberColors];
        mColorCounts = new int[mNumberColors];

        // Finally count the frequency of each color
        countFrequencies(pixels);
    }

    /**
     * @return number of distinct colors in the image.
     */
    int getNumberOfColors() {
        return mNumberColors;
    }

    /**
     * @return an array containing all of the distinct colors in the image.
     */
    int[] getColors() {
        return mColors;
    }

    /**
     * @return an array containing the frequency of a distinct colors within the image.
     */
    int[] getColorCounts() {
        return mColorCounts;
    }

    private static int countDistinctColors(final int[] pixels) {
        if (pixels.length < 2) {
            // If we have less than 2 pixels we can stop here
            return pixels.length;
        }

        // If we have at least 2 pixels, we have a minimum of 1 color...
        int colorCount = 1;
        int currentColor = pixels[0];

        // Now iterate from the second pixel to the end, counting distinct colors
        for (int i = 1; i < pixels.length; i++) {
            // If we encounter a new color, increase the population
            if (pixels[i] != currentColor) {
                currentColor = pixels[i];
                colorCount++;
            }
        }

        return colorCount;
    }

    private void countFrequencies(final int[] pixels) {
        if (pixels.length == 0) {
            return;
        }

        int currentColorIndex = 0;
        int currentColor = pixels[0];

        mColors[currentColorIndex] = currentColor;
        mColorCounts[currentColorIndex] = 1;

        if (pixels.length == 1) {
            // If we only have one pixel, we can stop here
            return;
        }

        // Now iterate from the second pixel to the end, population distinct colors
        for (int i = 1; i < pixels.length; i++) {
            if (pixels[i] == currentColor) {
                // We've hit the same color as before, increase population
                mColorCounts[currentColorIndex]++;
            } else {
                // We've hit a new color, increase index
                currentColor = pixels[i];

                currentColorIndex++;
                mColors[currentColorIndex] = currentColor;
                mColorCounts[currentColorIndex] = 1;
            }
        }
    }

}

过后是ColorUtils这个类,这个类有些事在v4里面的包里面,需要自己去修改和剔除来。

package com.bobo.picdis.utils;

/*
 * Copyright 2014 The Android Open Source Project
 *
 * Licensed under the Apache License, Version 2.0 (the "License");
 * you may not use this file except in compliance with the License.
 * You may obtain a copy of the License at
 *
 *       http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing, software
 * distributed under the License is distributed on an "AS IS" BASIS,
 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 * See the License for the specific language governing permissions and
 * limitations under the License.
 */


import android.graphics.Color;

final class ColorUtils {

    private static final int MIN_ALPHA_SEARCH_MAX_ITERATIONS = 10;
    private static final int MIN_ALPHA_SEARCH_PRECISION = 10;

    private ColorUtils() {}

    /**
     * Composite two potentially translucent colors over each other and returns the result.
     */
    private static int compositeColors(int fg, int bg) {
        final float alpha1 = Color.alpha(fg) / 255f;
        final float alpha2 = Color.alpha(bg) / 255f;

        float a = (alpha1 + alpha2) * (1f - alpha1);
        float r = (Color.red(fg) * alpha1) + (Color.red(bg) * alpha2 * (1f - alpha1));
        float g = (Color.green(fg) * alpha1) + (Color.green(bg) * alpha2 * (1f - alpha1));
        float b = (Color.blue(fg) * alpha1) + (Color.blue(bg) * alpha2 * (1f - alpha1));

        return Color.argb((int) a, (int) r, (int) g, (int) b);
    }

    /**
     * Returns the luminance of a color.
     *
     * Formula defined here: http://www.w3.org/TR/2008/REC-WCAG20-20081211/#relativeluminancedef
     */
    private static double calculateLuminance(int color) {
        double red = Color.red(color) / 255d;
        red = red < 0.03928 ? red / 12.92 : Math.pow((red + 0.055) / 1.055, 2.4);

        double green = Color.green(color) / 255d;
        green = green < 0.03928 ? green / 12.92 : Math.pow((green + 0.055) / 1.055, 2.4);

        double blue = Color.blue(color) / 255d;
        blue = blue < 0.03928 ? blue / 12.92 : Math.pow((blue + 0.055) / 1.055, 2.4);

        return (0.2126 * red) + (0.7152 * green) + (0.0722 * blue);
    }

    /**
     * Returns the contrast ratio between two colors.
     *
     * Formula defined here: http://www.w3.org/TR/2008/REC-WCAG20-20081211/#contrast-ratiodef
     */
    private static double calculateContrast(int foreground, int background) {
        if (Color.alpha(background) != 255) {
            throw new IllegalArgumentException("background can not be translucent");
        }
        if (Color.alpha(foreground) < 255) {
            // If the foreground is translucent, composite the foreground over the background
            foreground = compositeColors(foreground, background);
        }

        final double luminance1 = calculateLuminance(foreground) + 0.05;
        final double luminance2 = calculateLuminance(background) + 0.05;

        // Now return the lighter luminance divided by the darker luminance
        return Math.max(luminance1, luminance2) / Math.min(luminance1, luminance2);
    }

    /**
     * Finds the minimum alpha value which can be applied to {@code foreground} so that is has a
     * contrast value of at least {@code minContrastRatio} when compared to background.
     *
     * @return the alpha value in the range 0-255.
     */
    private static int findMinimumAlpha(int foreground, int background, double minContrastRatio) {
        if (Color.alpha(background) != 255) {
            throw new IllegalArgumentException("background can not be translucent");
        }

        // First lets check that a fully opaque foreground has sufficient contrast
        int testForeground = modifyAlpha(foreground, 255);
        double testRatio = calculateContrast(testForeground, background);
        if (testRatio < minContrastRatio) {
            // Fully opaque foreground does not have sufficient contrast, return error
            return -1;
        }

        // Binary search to find a value with the minimum value which provides sufficient contrast
        int numIterations = 0;
        int minAlpha = 0;
        int maxAlpha = 255;

        while (numIterations <= MIN_ALPHA_SEARCH_MAX_ITERATIONS &&
                (maxAlpha - minAlpha) > MIN_ALPHA_SEARCH_PRECISION) {
            final int testAlpha = (minAlpha + maxAlpha) / 2;

            testForeground = modifyAlpha(foreground, testAlpha);
            testRatio = calculateContrast(testForeground, background);

            if (testRatio < minContrastRatio) {
                minAlpha = testAlpha;
            } else {
                maxAlpha = testAlpha;
            }

            numIterations++;
        }

        // Conservatively return the max of the range of possible alphas, which is known to pass.
        return maxAlpha;
    }

    static int getTextColorForBackground(int backgroundColor, float minContrastRatio) {
        // First we will check white as most colors will be dark
        final int whiteMinAlpha = ColorUtils
                .findMinimumAlpha(Color.WHITE, backgroundColor, minContrastRatio);

        if (whiteMinAlpha >= 0) {
            return ColorUtils.modifyAlpha(Color.WHITE, whiteMinAlpha);
        }

        // If we hit here then there is not an translucent white which provides enough contrast,
        // so check black
        final int blackMinAlpha = ColorUtils
                .findMinimumAlpha(Color.BLACK, backgroundColor, minContrastRatio);

        if (blackMinAlpha >= 0) {
            return ColorUtils.modifyAlpha(Color.BLACK, blackMinAlpha);
        }

        // This should not happen!
        return -1;
    }

    static void RGBtoHSL(int r, int g, int b, float[] hsl) {
        final float rf = r / 255f;
        final float gf = g / 255f;
        final float bf = b / 255f;

        final float max = Math.max(rf, Math.max(gf, bf));
        final float min = Math.min(rf, Math.min(gf, bf));
        final float deltaMaxMin = max - min;

        float h, s;
        float l = (max + min) / 2f;

        if (max == min) {
            // Monochromatic
            h = s = 0f;
        } else {
            if (max == rf) {
                h = ((gf - bf) / deltaMaxMin) % 6f;
            } else if (max == gf) {
                h = ((bf - rf) / deltaMaxMin) + 2f;
            } else {
                h = ((rf - gf) / deltaMaxMin) + 4f;
            }

            s =  deltaMaxMin / (1f - Math.abs(2f * l - 1f));
        }

        hsl[0] = (h * 60f) % 360f;
        hsl[1] = s;
        hsl[2] = l;
    }

    static int HSLtoRGB (float[] hsl) {
        final float h = hsl[0];
        final float s = hsl[1];
        final float l = hsl[2];

        final float c = (1f - Math.abs(2 * l - 1f)) * s;
        final float m = l - 0.5f * c;
        final float x = c * (1f - Math.abs((h / 60f % 2f) - 1f));

        final int hueSegment = (int) h / 60;

        int r = 0, g = 0, b = 0;

        switch (hueSegment) {
            case 0:
                r = Math.round(255 * (c + m));
                g = Math.round(255 * (x + m));
                b = Math.round(255 * m);
                break;
            case 1:
                r = Math.round(255 * (x + m));
                g = Math.round(255 * (c + m));
                b = Math.round(255 * m);
                break;
            case 2:
                r = Math.round(255 * m);
                g = Math.round(255 * (c + m));
                b = Math.round(255 * (x + m));
                break;
            case 3:
                r = Math.round(255 * m);
                g = Math.round(255 * (x + m));
                b = Math.round(255 * (c + m));
                break;
            case 4:
                r = Math.round(255 * (x + m));
                g = Math.round(255 * m);
                b = Math.round(255 * (c + m));
                break;
            case 5:
            case 6:
                r = Math.round(255 * (c + m));
                g = Math.round(255 * m);
                b = Math.round(255 * (x + m));
                break;
        }

        r = Math.max(0, Math.min(255, r));
        g = Math.max(0, Math.min(255, g));
        b = Math.max(0, Math.min(255, b));

        return Color.rgb(r, g, b);
    }

    /**
     * Set the alpha component of {@code color} to be {@code alpha}.
     */
    static int modifyAlpha(int color, int alpha) {
        return (color & 0x00ffffff) | (alpha << 24);
    }

}

最后就是我们的重要部分了,对外接口的类Palette

package com.bobo.picdis.utils;

/*
 * Copyright 2014 The Android Open Source Project
 *
 * Licensed under the Apache License, Version 2.0 (the "License");
 * you may not use this file except in compliance with the License.
 * You may obtain a copy of the License at
 *
 *       http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing, software
 * distributed under the License is distributed on an "AS IS" BASIS,
 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 * See the License for the specific language governing permissions and
 * limitations under the License.
 */

import android.graphics.Bitmap;
import android.graphics.Color;
import android.os.AsyncTask;

import java.util.Arrays;
import java.util.Collections;
import java.util.List;

/**
 * A helper class to extract prominent colors from an image.
 * 

* A number of colors with different profiles are extracted from the image: *

    *
  • Vibrant
  • *
  • Vibrant Dark
  • *
  • Vibrant Light
  • *
  • Muted
  • *
  • Muted Dark
  • *
  • Muted Light
  • *
* These can be retrieved from the appropriate getter method. * *

* Instances can be created with the synchronous factory methods {@link #generate(Bitmap)} and * {@link #generate(Bitmap, int)}. *

* These should be called on a background thread, ideally the one in * which you load your images on. Sometimes that is not possible, so asynchronous factory methods * have also been provided: {@link #generateAsync(Bitmap, PaletteAsyncListener)} and * {@link #generateAsync(Bitmap, int, PaletteAsyncListener)}. These can be used as so: * *

 * Palette.generateAsync(bitmap, new Palette.PaletteAsyncListener() {
 *     public void onGenerated(Palette palette) {
 *         // Do something with colors...
 *     }
 * });
 * 
*/
public final class Palette { /** * Listener to be used with {@link #generateAsync(Bitmap, PaletteAsyncListener)} or * {@link #generateAsync(Bitmap, int, PaletteAsyncListener)} */ public interface PaletteAsyncListener { /** * Called when the {@link Palette} has been generated. */ void onGenerated(Palette palette); } private static final int CALCULATE_BITMAP_MIN_DIMENSION = 100; private static final int DEFAULT_CALCULATE_NUMBER_COLORS = 16; private static final float TARGET_DARK_LUMA = 0.26f; private static final float MAX_DARK_LUMA = 0.45f; private static final float MIN_LIGHT_LUMA = 0.55f; private static final float TARGET_LIGHT_LUMA = 0.74f; private static final float MIN_NORMAL_LUMA = 0.3f; private static final float TARGET_NORMAL_LUMA = 0.5f; private static final float MAX_NORMAL_LUMA = 0.7f; private static final float TARGET_MUTED_SATURATION = 0.3f; private static final float MAX_MUTED_SATURATION = 0.4f; private static final float TARGET_VIBRANT_SATURATION = 1f; private static final float MIN_VIBRANT_SATURATION = 0.35f; private static final float WEIGHT_SATURATION = 3f; private static final float WEIGHT_LUMA = 6f; private static final float WEIGHT_POPULATION = 1f; private static final float MIN_CONTRAST_TITLE_TEXT = 3.0f; private static final float MIN_CONTRAST_BODY_TEXT = 4.5f; private final List mSwatches; private final int mHighestPopulation; private Swatch mVibrantSwatch; private Swatch mMutedSwatch; private Swatch mDarkVibrantSwatch; private Swatch mDarkMutedSwatch; private Swatch mLightVibrantSwatch; private Swatch mLightMutedColor; /** * Generate a {@link Palette} from a {@link Bitmap} using the default number of colors. */ public static Palette generate(Bitmap bitmap) { return generate(bitmap, DEFAULT_CALCULATE_NUMBER_COLORS); } /** * Generate a {@link Palette} from a {@link Bitmap} using the specified {@code numColors}. * Good values for {@code numColors} depend on the source image type. * For landscapes, a good values are in the range 12-16. For images which are largely made up * of people's faces then this value should be increased to 24-32. * * @param numColors The maximum number of colors in the generated palette. Increasing this * number will increase the time needed to compute the values. */ public static Palette generate(Bitmap bitmap, int numColors) { checkBitmapParam(bitmap); checkNumberColorsParam(numColors); // First we'll scale down the bitmap so it's shortest dimension is 100px final Bitmap scaledBitmap = scaleBitmapDown(bitmap); // Now generate a quantizer from the Bitmap ColorCutQuantizer quantizer = ColorCutQuantizer.fromBitmap(scaledBitmap, numColors); // If created a new bitmap, recycle it if (scaledBitmap != bitmap) { scaledBitmap.recycle(); } // Now return a ColorExtractor instance return new Palette(quantizer.getQuantizedColors()); } /** * Generate a {@link Palette} asynchronously. {@link PaletteAsyncListener#onGenerated(Palette)} * will be called with the created instance. The resulting {@link Palette} is the same as * what would be created by calling {@link #generate(Bitmap)}. * * @param listener Listener to be invoked when the {@link Palette} has been generated. * * @return the {@link android.os.AsyncTask} used to asynchronously generate the instance. */ public static AsyncTask generateAsync( Bitmap bitmap, PaletteAsyncListener listener) { return generateAsync(bitmap, DEFAULT_CALCULATE_NUMBER_COLORS, listener); } /** * Generate a {@link Palette} asynchronously. {@link PaletteAsyncListener#onGenerated(Palette)} * will be called with the created instance. The resulting {@link Palette} is the same as what * would be created by calling {@link #generate(Bitmap, int)}. * * @param listener Listener to be invoked when the {@link Palette} has been generated. * * @return the {@link android.os.AsyncTask} used to asynchronously generate the instance. */ public static AsyncTask generateAsync( final Bitmap bitmap, final int numColors, final PaletteAsyncListener listener) { checkBitmapParam(bitmap); checkNumberColorsParam(numColors); checkAsyncListenerParam(listener); AsyncTask task = new AsyncTask() { @Override protected Palette doInBackground(Bitmap... params) { return generate(params[0], numColors); } @Override protected void onPostExecute(Palette colorExtractor) { super.onPostExecute(colorExtractor); listener.onGenerated(colorExtractor); } }; task.executeOnExecutor(AsyncTask.THREAD_POOL_EXECUTOR, bitmap); // return AsyncTaskCompat.executeParallel( // new AsyncTask() { // @Override // protected Palette doInBackground(Bitmap... params) { // return generate(params[0], numColors); // } // // @Override // protected void onPostExecute(Palette colorExtractor) { // listener.onGenerated(colorExtractor); // } // }, bitmap); return task; } private Palette(List swatches) { mSwatches = swatches; mHighestPopulation = findMaxPopulation(); mVibrantSwatch = findColor(TARGET_NORMAL_LUMA, MIN_NORMAL_LUMA, MAX_NORMAL_LUMA, TARGET_VIBRANT_SATURATION, MIN_VIBRANT_SATURATION, 1f); mLightVibrantSwatch = findColor(TARGET_LIGHT_LUMA, MIN_LIGHT_LUMA, 1f, TARGET_VIBRANT_SATURATION, MIN_VIBRANT_SATURATION, 1f); mDarkVibrantSwatch = findColor(TARGET_DARK_LUMA, 0f, MAX_DARK_LUMA, TARGET_VIBRANT_SATURATION, MIN_VIBRANT_SATURATION, 1f); mMutedSwatch = findColor(TARGET_NORMAL_LUMA, MIN_NORMAL_LUMA, MAX_NORMAL_LUMA, TARGET_MUTED_SATURATION, 0f, MAX_MUTED_SATURATION); mLightMutedColor = findColor(TARGET_LIGHT_LUMA, MIN_LIGHT_LUMA, 1f, TARGET_MUTED_SATURATION, 0f, MAX_MUTED_SATURATION); mDarkMutedSwatch = findColor(TARGET_DARK_LUMA, 0f, MAX_DARK_LUMA, TARGET_MUTED_SATURATION, 0f, MAX_MUTED_SATURATION); // Now try and generate any missing colors generateEmptySwatches(); } /** * Returns all of the swatches which make up the palette. */ public List getSwatches() { return Collections.unmodifiableList(mSwatches); } /** * Returns the most vibrant swatch in the palette. Might be null. */ public Swatch getVibrantSwatch() { return mVibrantSwatch; } /** * Returns a light and vibrant swatch from the palette. Might be null. */ public Swatch getLightVibrantSwatch() { return mLightVibrantSwatch; } /** * Returns a dark and vibrant swatch from the palette. Might be null. */ public Swatch getDarkVibrantSwatch() { return mDarkVibrantSwatch; } /** * Returns a muted swatch from the palette. Might be null. */ public Swatch getMutedSwatch() { return mMutedSwatch; } /** * Returns a muted and light swatch from the palette. Might be null. */ public Swatch getLightMutedSwatch() { return mLightMutedColor; } /** * Returns a muted and dark swatch from the palette. Might be null. */ public Swatch getDarkMutedSwatch() { return mDarkMutedSwatch; } /** * Returns the most vibrant color in the palette as an RGB packed int. * * @param defaultColor value to return if the swatch isn't available */ public int getVibrantColor(int defaultColor) { return mVibrantSwatch != null ? mVibrantSwatch.getRgb() : defaultColor; } /** * Returns a light and vibrant color from the palette as an RGB packed int. * * @param defaultColor value to return if the swatch isn't available */ public int getLightVibrantColor(int defaultColor) { return mLightVibrantSwatch != null ? mLightVibrantSwatch.getRgb() : defaultColor; } /** * Returns a dark and vibrant color from the palette as an RGB packed int. * * @param defaultColor value to return if the swatch isn't available */ public int getDarkVibrantColor(int defaultColor) { return mDarkVibrantSwatch != null ? mDarkVibrantSwatch.getRgb() : defaultColor; } /** * Returns a muted color from the palette as an RGB packed int. * * @param defaultColor value to return if the swatch isn't available */ public int getMutedColor(int defaultColor) { return mMutedSwatch != null ? mMutedSwatch.getRgb() : defaultColor; } /** * Returns a muted and light color from the palette as an RGB packed int. * * @param defaultColor value to return if the swatch isn't available */ public int getLightMutedColor(int defaultColor) { return mLightMutedColor != null ? mLightMutedColor.getRgb() : defaultColor; } /** * Returns a muted and dark color from the palette as an RGB packed int. * * @param defaultColor value to return if the swatch isn't available */ public int getDarkMutedColor(int defaultColor) { return mDarkMutedSwatch != null ? mDarkMutedSwatch.getRgb() : defaultColor; } /** * @return true if we have already selected {@code swatch} */ private boolean isAlreadySelected(Swatch swatch) { return mVibrantSwatch == swatch || mDarkVibrantSwatch == swatch || mLightVibrantSwatch == swatch || mMutedSwatch == swatch || mDarkMutedSwatch == swatch || mLightMutedColor == swatch; } private Swatch findColor(float targetLuma, float minLuma, float maxLuma, float targetSaturation, float minSaturation, float maxSaturation) { Swatch max = null; float maxValue = 0f; for (Swatch swatch : mSwatches) { final float sat = swatch.getHsl()[1]; final float luma = swatch.getHsl()[2]; if (sat >= minSaturation && sat <= maxSaturation && luma >= minLuma && luma <= maxLuma && !isAlreadySelected(swatch)) { float thisValue = createComparisonValue(sat, targetSaturation, luma, targetLuma, swatch.getPopulation(), mHighestPopulation); if (max == null || thisValue > maxValue) { max = swatch; maxValue = thisValue; } } } return max; } /** * Try and generate any missing swatches from the swatches we did find. */ private void generateEmptySwatches() { if (mVibrantSwatch == null) { // If we do not have a vibrant color... if (mDarkVibrantSwatch != null) { // ...but we do have a dark vibrant, generate the value by modifying the luma final float[] newHsl = copyHslValues(mDarkVibrantSwatch); newHsl[2] = TARGET_NORMAL_LUMA; mVibrantSwatch = new Swatch(ColorUtils.HSLtoRGB(newHsl), 0); } } if (mDarkVibrantSwatch == null) { // If we do not have a dark vibrant color... if (mVibrantSwatch != null) { // ...but we do have a vibrant, generate the value by modifying the luma final float[] newHsl = copyHslValues(mVibrantSwatch); newHsl[2] = TARGET_DARK_LUMA; mDarkVibrantSwatch = new Swatch(ColorUtils.HSLtoRGB(newHsl), 0); } } } /** * Find the {@link Swatch} with the highest population value and return the population. */ private int findMaxPopulation() { int population = 0; for (Swatch swatch : mSwatches) { population = Math.max(population, swatch.getPopulation()); } return population; } @Override public boolean equals(Object o) { if (this == o) { return true; } if (o == null || getClass() != o.getClass()) { return false; } Palette palette = (Palette) o; if (mSwatches != null ? !mSwatches.equals(palette.mSwatches) : palette.mSwatches != null) { return false; } if (mDarkMutedSwatch != null ? !mDarkMutedSwatch.equals(palette.mDarkMutedSwatch) : palette.mDarkMutedSwatch != null) { return false; } if (mDarkVibrantSwatch != null ? !mDarkVibrantSwatch.equals(palette.mDarkVibrantSwatch) : palette.mDarkVibrantSwatch != null) { return false; } if (mLightMutedColor != null ? !mLightMutedColor.equals(palette.mLightMutedColor) : palette.mLightMutedColor != null) { return false; } if (mLightVibrantSwatch != null ? !mLightVibrantSwatch.equals(palette.mLightVibrantSwatch) : palette.mLightVibrantSwatch != null) { return false; } if (mMutedSwatch != null ? !mMutedSwatch.equals(palette.mMutedSwatch) : palette.mMutedSwatch != null) { return false; } if (mVibrantSwatch != null ? !mVibrantSwatch.equals(palette.mVibrantSwatch) : palette.mVibrantSwatch != null) { return false; } return true; } @Override public int hashCode() { int result = mSwatches != null ? mSwatches.hashCode() : 0; result = 31 * result + (mVibrantSwatch != null ? mVibrantSwatch.hashCode() : 0); result = 31 * result + (mMutedSwatch != null ? mMutedSwatch.hashCode() : 0); result = 31 * result + (mDarkVibrantSwatch != null ? mDarkVibrantSwatch.hashCode() : 0); result = 31 * result + (mDarkMutedSwatch != null ? mDarkMutedSwatch.hashCode() : 0); result = 31 * result + (mLightVibrantSwatch != null ? mLightVibrantSwatch.hashCode() : 0); result = 31 * result + (mLightMutedColor != null ? mLightMutedColor.hashCode() : 0); return result; } /** * Scale the bitmap down so that it's smallest dimension is * {@value #CALCULATE_BITMAP_MIN_DIMENSION}px. If {@code bitmap} is smaller than this, than it * is returned. */ private static Bitmap scaleBitmapDown(Bitmap bitmap) { final int minDimension = Math.min(bitmap.getWidth(), bitmap.getHeight()); if (minDimension <= CALCULATE_BITMAP_MIN_DIMENSION) { // If the bitmap is small enough already, just return it return bitmap; } final float scaleRatio = CALCULATE_BITMAP_MIN_DIMENSION / (float) minDimension; return Bitmap.createScaledBitmap(bitmap, Math.round(bitmap.getWidth() * scaleRatio), Math.round(bitmap.getHeight() * scaleRatio), false); } private static float createComparisonValue(float saturation, float targetSaturation, float luma, float targetLuma, int population, int highestPopulation) { return weightedMean( invertDiff(saturation, targetSaturation), WEIGHT_SATURATION, invertDiff(luma, targetLuma), WEIGHT_LUMA, population / (float) highestPopulation, WEIGHT_POPULATION ); } /** * Copy a {@link Swatch}'s HSL values into a new float[]. */ private static float[] copyHslValues(Swatch color) { final float[] newHsl = new float[3]; System.arraycopy(color.getHsl(), 0, newHsl, 0, 3); return newHsl; } /** * Returns a value in the range 0-1. 1 is returned when {@code value} equals the * {@code targetValue} and then decreases as the absolute difference between {@code value} and * {@code targetValue} increases. * * @param value the item's value * @param targetValue the value which we desire */ private static float invertDiff(float value, float targetValue) { return 1f - Math.abs(value - targetValue); } private static float weightedMean(float... values) { float sum = 0f; float sumWeight = 0f; for (int i = 0; i < values.length; i += 2) { float value = values[i]; float weight = values[i + 1]; sum += (value * weight); sumWeight += weight; } return sum / sumWeight; } private static void checkBitmapParam(Bitmap bitmap) { if (bitmap == null) { throw new IllegalArgumentException("bitmap can not be null"); } if (bitmap.isRecycled()) { throw new IllegalArgumentException("bitmap can not be recycled"); } } private static void checkNumberColorsParam(int numColors) { if (numColors < 1) { throw new IllegalArgumentException("numColors must be 1 of greater"); } } private static void checkAsyncListenerParam(PaletteAsyncListener listener) { if (listener == null) { throw new IllegalArgumentException("listener can not be null"); } } /** * Represents a color swatch generated from an image's palette. The RGB color can be retrieved * by calling {@link #getRgb()}. */ public static final class Swatch { private final int mRed, mGreen, mBlue; private final int mRgb; private final int mPopulation; private boolean mGeneratedTextColors; private int mTitleTextColor; private int mBodyTextColor; private float[] mHsl; Swatch(int rgbColor, int population) { mRed = Color.red(rgbColor); mGreen = Color.green(rgbColor); mBlue = Color.blue(rgbColor); mRgb = rgbColor; mPopulation = population; } Swatch(int red, int green, int blue, int population) { mRed = red; mGreen = green; mBlue = blue; mRgb = Color.rgb(red, green, blue); mPopulation = population; } /** * @return this swatch's RGB color value */ public int getRgb() { return mRgb; } /** * Return this swatch's HSL values. * hsv[0] is Hue [0 .. 360) * hsv[1] is Saturation [0...1] * hsv[2] is Lightness [0...1] */ public float[] getHsl() { if (mHsl == null) { // Lazily generate HSL values from RGB mHsl = new float[3]; ColorUtils.RGBtoHSL(mRed, mGreen, mBlue, mHsl); } return mHsl; } /** * @return the number of pixels represented by this swatch */ public int getPopulation() { return mPopulation; } /** * Returns an appropriate color to use for any 'title' text which is displayed over this * {@link Swatch}'s color. This color is guaranteed to have sufficient contrast. */ public int getTitleTextColor() { ensureTextColorsGenerated(); return mTitleTextColor; } /** * Returns an appropriate color to use for any 'body' text which is displayed over this * {@link Swatch}'s color. This color is guaranteed to have sufficient contrast. */ public int getBodyTextColor() { ensureTextColorsGenerated(); return mBodyTextColor; } private void ensureTextColorsGenerated() { if (!mGeneratedTextColors) { mTitleTextColor = ColorUtils.getTextColorForBackground(mRgb, MIN_CONTRAST_TITLE_TEXT); mBodyTextColor = ColorUtils.getTextColorForBackground(mRgb, MIN_CONTRAST_BODY_TEXT); mGeneratedTextColors = true; } } @Override public String toString() { return new StringBuilder(getClass().getSimpleName()) .append(" [RGB: #").append(Integer.toHexString(getRgb())).append(']') .append(" [HSL: ").append(Arrays.toString(getHsl())).append(']') .append(" [Population: ").append(mPopulation).append(']') .append(" [Title Text: #").append(Integer.toHexString(mTitleTextColor)).append(']') .append(" [Body Text: #").append(Integer.toHexString(mBodyTextColor)).append(']') .toString(); } @Override public boolean equals(Object o) { if (this == o) { return true; } if (o == null || getClass() != o.getClass()) { return false; } Swatch swatch = (Swatch) o; return mPopulation == swatch.mPopulation && mRgb == swatch.mRgb; } @Override public int hashCode() { return 31 * mRgb + mPopulation; } } }

讲解

需要注意的我修改的一个比较重要的地方,Palette里面的generateAsync方法,它返回的这一段代码
return AsyncTaskCompat.executeParallel(
// new AsyncTask() {
// @Override
// protected Palette doInBackground(Bitmap... params) {
// return generate(params[0], numColors);
// }
//
// @Override
// protected void onPostExecute(Palette colorExtractor) {
// listener.onGenerated(colorExtractor);
// }
// }, bitmap);

被我修改成了

  AsyncTask task  = new AsyncTask() {
            @Override
            protected Palette doInBackground(Bitmap... params) {
                return generate(params[0], numColors);
            }

            @Override
            protected void onPostExecute(Palette colorExtractor) {
                super.onPostExecute(colorExtractor);
                listener.onGenerated(colorExtractor);
            }
        };
   task.executeOnExecutor(AsyncTask.THREAD_POOL_EXECUTOR, bitmap);

这个貌似不兼容api11以下,11以下可以直接调用task.execute方法,然后传入参数就可以了,我也是看了源码修改的,因为我的需求里面不需要兼容11的api,下面就看看使用的效果吧。上我们的Activity的代码。

ublic class MainActivity extends Activity implements Palette.PaletteAsyncListener {

    LinearLayout mRoot;

    @Override
    protected void onCreate(Bundle savedInstanceState) {
        super.onCreate(savedInstanceState);

        mRoot = new LinearLayout(this);
        mRoot.setOrientation(LinearLayout.VERTICAL);
        setContentView(mRoot);
//导入一个图片
        Bitmap bitmap = BitmapFactory.decodeResource(getResources(), R.drawable.examlist_naeti);
        Palette palette = Palette.generate(bitmap);
        //获取色调DarkMuted颜色 没有获取到这个模式下的颜色默认给一个red的红色
//        int darkMultedColor = palette.getDarkMutedColor(Color.RED);
//        View view = new View(this);
        LinearLayout.LayoutParams params = new LinearLayout.LayoutParams(LinearLayout.LayoutParams.MATCH_PARENT, 100);
        params.bottomMargin = 5;
//        view.setBackgroundColor(darkMultedColor);
//        mRoot.addView(view, params);
// 获取色调DarkMuted颜色
//        int darkcolorExtractor = palette.getDarkVibrantColor(Color.RED);
//        view = new View(this);
//        view.setLayoutParams(params);
//        view.setBackgroundColor(darkcolorExtractor);
//        mRoot.addView(view, params);
//
//获取色调DarkMuted颜色
//        int lightMuteColor = palette.getLightMutedColor(Color.RED);
//        view = new View(this);
//        view.setLayoutParams(params);
//        view.setBackgroundColor(lightMuteColor);
//        mRoot.addView(view, params);

        //获取所有的图片分析结果
        List lists = palette.getSwatches();
        for (Palette.Swatch swatch : lists) {
            int color = swatch.getRgb();
            View view = new View(this);
            view.setLayoutParams(params);
            view.setBackgroundColor(color);
            mRoot.addView(view, params);
        }
        //导入第二张图片异步去分析它
        Bitmap bitmap1 = BitmapFactory.decodeResource(getResources(), R.drawable.examlist_cmep);
        //需要注意的是颜色的个数必须要大于1而且lisenler也不能为空。
        AsyncTask palette1 = Palette.generateAsync(bitmap1, 3, this);
    }
    @Override
    public void onGenerated(Palette palette) {
        int darkMultedColor = palette.getDarkMutedColor(Color.RED);
        View view = new View(this);
        LinearLayout.LayoutParams params = new LinearLayout.LayoutParams(LinearLayout.LayoutParams.MATCH_PARENT, 100);
        view.setBackgroundColor(darkMultedColor);
        mRoot.addView(view, params);

        int darkcolorExtractor = palette.getDarkVibrantColor(Color.RED);
        view = new View(this);
        view.setLayoutParams(params);
        view.setBackgroundColor(darkcolorExtractor);
        mRoot.addView(view, params);


        int lightMuteColor = palette.getLightMutedColor(Color.RED);
        view = new View(this);
        view.setLayoutParams(params);
        view.setBackgroundColor(lightMuteColor);
        mRoot.addView(view, params);
    }
}

用法跟google提供的调色板palette是一样的,其中很多色调的颜色可以根据自己的需要去提取,也可以提取所有的颜色,这样提取到了当前图片的色调颜色,就可以很容易的匹配和选择我们需要的颜色了。源码地址:传送门

你可能感兴趣的:(android,java)