【Android】使用OpenCV提取人体肤色区域

手势动态识别（基于opencv的简单实现）
http://blog.csdn.net/anqing715/article/details/17653709


基于OpenCV的实时手势识别算法研究_许艳旭
http://wenku.baidu.com/view/c7a2c97e998fcc22bdd10d11.html


基于OpenCV动态手势识别的实现
http://wenku.baidu.com/view/e0c708efad51f01dc281f1dd.html

MainActivity.java

package com.duanjiwei.takephoto;

import android.app.Activity;
import android.content.Intent;
import android.graphics.Bitmap;
import android.graphics.BitmapFactory;

import android.net.Uri;
import android.os.Environment;
import android.provider.MediaStore;
import android.support.v7.app.AppCompatActivity;
import android.os.Bundle;
import android.util.Log;
import android.view.View;
import android.widget.Button;
import android.widget.ImageView;

import org.opencv.android.BaseLoaderCallback;

import org.opencv.android.LoaderCallbackInterface;
import org.opencv.android.OpenCVLoader;
import org.opencv.android.Utils;
import org.opencv.core.Core;
import org.opencv.core.CvType;
import org.opencv.core.Mat;
import org.opencv.core.MatOfPoint;
import org.opencv.core.Point;
import org.opencv.core.Scalar;
import org.opencv.core.Size;
import org.opencv.imgproc.Imgproc;


import java.io.File;
import java.io.FileNotFoundException;
import java.io.IOException;
import java.util.ArrayList;
import java.util.List;
import java.util.Random;

//public class MainActivity extends AppCompatActivity {
public class MainActivity extends Activity {

    public static final int TAKE_PHOTO = 1;
    //public static final int CROP_PHOTO = 2;

    private Button takephoto;
    private ImageView picture;
    private Uri imageUri;

    Mat imageMat;
    private static final String TAG = "OCVSample::Activity";

    private BaseLoaderCallback mLoaderCallback = new BaseLoaderCallback(this) {
        @Override
        public void onManagerConnected(int status) {
            switch (status) {
                case LoaderCallbackInterface.SUCCESS:
                {
                    Log.i(TAG, "OpenCV loaded successfully");
                    imageMat=new Mat();
                } break;
                default:
                {
                    super.onManagerConnected(status);
                } break;
            }
        }
    };

    @Override
    public void onResume()
    {
        super.onResume();
        if (!OpenCVLoader.initDebug()) {
            Log.d("OpenCV", "Internal OpenCV library not found. Using OpenCV Manager for initialization");
            OpenCVLoader.initAsync(OpenCVLoader.OPENCV_VERSION_2_4_10, this, mLoaderCallback);
        } else {
            Log.d("OpenCV", "OpenCV library found inside package. Using it!");
            mLoaderCallback.onManagerConnected(LoaderCallbackInterface.SUCCESS);
        }
    }



    @Override
    protected void onCreate(Bundle savedInstanceState) {
        super.onCreate(savedInstanceState);
        setContentView(R.layout.activity_main);

        takephoto = (Button)findViewById(R.id.take_photo);
        picture   = (ImageView)findViewById(R.id.picture);
        takephoto.setOnClickListener(new View.OnClickListener() {
            @Override
            public void onClick(View v) {
                File outputImage = new File(Environment.getExternalStorageDirectory(), "output_image.jpg");
                try {
                    if (outputImage.exists()) {
                        outputImage.delete();
                    }
                    outputImage.createNewFile();
                }catch (IOException e){
                    e.printStackTrace();
                }
                imageUri = Uri.fromFile(outputImage);
                Intent intent = new Intent("android.media.action.IMAGE_CAPTURE");
                intent.putExtra(MediaStore.EXTRA_OUTPUT, imageUri);
                startActivityForResult(intent, TAKE_PHOTO);
            }
        });
    }

    @Override
    protected void onActivityResult(int requestCode, int resultCode, Intent data){
        switch (requestCode){
            case TAKE_PHOTO:
                //if (resultCode == RESULT_OK){
                    //Intent intent = new Intent("com.android.camera.action.CROP");
                    //intent.setDataAndType(imageUri, "image/*");
                   // intent.putExtra("scale", true);
                    //intent.putExtra(MediaStore.EXTRA_OUTPUT,imageUri);
                    //startActivityForResult(intent, CROP_PHOTO);
                //}
                //break;
            //case CROP_PHOTO:
                if (resultCode == RESULT_OK){
                    try{
                        //获取原图
                        Bitmap bitmap = BitmapFactory.decodeStream(getContentResolver().openInputStream(imageUri));
                        picture.setImageBitmap(bitmap);

                        //图像处理
                        Mat mat_src = new Mat(bitmap.getHeight(), bitmap.getWidth(), CvType.CV_8UC4);
                        Utils.bitmapToMat(bitmap, mat_src);
                        Mat mat_gray = new Mat(mat_src.cols(), mat_src.rows(), CvType.CV_8UC1);
                        Imgproc.cvtColor(mat_src, mat_gray, Imgproc.COLOR_BGRA2GRAY, 1);

                        //-------------------------------------------------------------------
                        Mat frame = new Mat(bitmap.getHeight(), bitmap.getWidth(), CvType.CV_8UC4);
                        mat_src.copyTo(frame);

                        Mat frameHSV = new Mat(mat_src.cols(), mat_src.rows(), CvType.CV_8UC3);;   // hsv空间
                        Mat mask = new Mat(mat_src.cols(), mat_src.rows(), CvType.CV_8UC1);
                        Mat dst = new Mat(mat_src.cols(), mat_src.rows(), CvType.CV_8UC3); // 输出图像
                        //dst.copyTo(frame);
                        // 中值滤波，去除椒盐噪声
                        Imgproc.medianBlur(frame, frame, 5);
                        Imgproc.cvtColor(frame, frameHSV, Imgproc.COLOR_RGB2HSV, 3);
                        Mat dstTemp1 = new Mat(mat_src.cols(), mat_src.rows(), CvType.CV_8UC1);
                        Mat dstTemp2 = new Mat(mat_src.cols(), mat_src.rows(), CvType.CV_8UC1);
                        // 对HSV空间进行量化，得到二值图像，亮的部分为手的形状
                        Core.inRange(frameHSV, new Scalar(0, 30, 30), new Scalar(40, 170, 256), dstTemp1);
                        Core.inRange(frameHSV, new Scalar(156, 30, 30), new Scalar(180, 170, 256), dstTemp2);
                        Core.bitwise_or(dstTemp1, dstTemp2, mask);

                        // 形态学操作，去除噪声，并使手的边界更加清晰
                        Mat element = Imgproc.getStructuringElement(Imgproc.MORPH_RECT, new Size(3, 3));
                        Imgproc.erode(mask, mask, element);
                        Imgproc.morphologyEx(mask, mask, Imgproc.MORPH_OPEN, element);
                        Imgproc.dilate(mask, mask, element);
                        Imgproc.morphologyEx(mask, mask, Imgproc.MORPH_CLOSE, element);

                        frame.copyTo(dst, mask);

//                        List contourList = new ArrayList();
//                        Mat hierarchy = new Mat();
//
//                        // 得到手的轮廓
//                        Imgproc.findContours(mask, contourList, hierarchy, Imgproc.RETR_EXTERNAL, Imgproc.CHAIN_APPROX_SIMPLE);
//
//                        Random r = new Random();
//                        int nContoursNum = contourList.size();
//                        for (int i = 0; i < nContoursNum; i++)
//                        {
//                            Imgproc.drawContours(dst, contourList, i, new Scalar(r.nextInt(255), r.nextInt(255), r.nextInt(255)), -1);
//                        }
                        //-------------------------------------------------------------------
                        //图像显示
                        Bitmap bmp_gray = Bitmap.createBitmap(mat_gray.cols(), mat_gray.rows(), Bitmap.Config.ARGB_8888 );
                        Utils.matToBitmap(dst, bmp_gray);
                        picture.setImageBitmap(bmp_gray);

                    }catch (FileNotFoundException e){
                        e.printStackTrace();
                    }
                }
                break;
            default:
                break;
        }
    }

}

activity_main.xml