验证码图片
http://www.oschina.net/code/snippet_616487_15391 原网址：
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package
com.coolinsoft.miaosha.util.ocr;
import
java.awt.Color;
import
java.awt.Graphics2D;
import
java.awt.color.ColorSpace;
import
java.awt.geom.AffineTransform;
import
java.awt.image.AffineTransformOp;
import
java.awt.image.BufferedImage;
import
java.awt.image.ColorConvertOp;
import
java.awt.image.ColorModel;
import
java.awt.image.MemoryImageSource;
import
java.awt.image.PixelGrabber;
import
java.util.HashMap;
import
java.util.Map;
public
class
ImageFilter {
private
BufferedImage image;
private
int
iw, ih;
//图片宽度、高度
private
int
[] pixels;
//像素
public
ImageFilter(BufferedImage image) {
this
.image = image;
iw = image.getWidth();
ih = image.getHeight();
pixels =
new
int
[iw * ih];
}
/** 图像二值化 */
public
BufferedImage changeGrey() {
PixelGrabber pg =
new
PixelGrabber(image.getSource(),
0
,
0
, iw, ih,pixels,
0
, iw);
try
{
pg.grabPixels();
}
catch
(InterruptedException e) {
e.printStackTrace();
}
// 设定二值化的域值，默认值为100
int
grey =
150
;
// 对图像进行二值化处理，Alpha值保持不变
ColorModel cm = ColorModel.getRGBdefault();
for
(
int
i =
0
; i < iw * ih; i++) {
int
red, green, blue;
int
alpha = cm.getAlpha(pixels[i]);
if
(cm.getRed(pixels[i]) > grey) {
red =
255
;
}
else
{
red =
0
;
}
if
(cm.getGreen(pixels[i]) > grey) {
green =
255
;
}
else
{
green =
0
;
}
if
(cm.getBlue(pixels[i]) > grey) {
blue =
255
;
}
else
{
blue =
0
;
}
pixels[i] = alpha <<
24
| red <<
16
| green <<
8
| blue;
}
// 将数组中的象素产生一个图像
return
ImageIOHelper.imageProducerToBufferedImage(
new
MemoryImageSource(iw, ih,pixels,
0
, iw));
}
/** 提升清晰度,进行锐化 */
public
BufferedImage sharp() {
PixelGrabber pg =
new
PixelGrabber(image.getSource(),
0
,
0
, iw, ih,
pixels,
0
, iw);
try
{
pg.grabPixels();
}
catch
(InterruptedException e) {
e.printStackTrace();
}
// 象素的中间变量
int
tempPixels[] =
new
int
[iw * ih];
for
(
int
i =
0
; i < iw * ih; i++) {
tempPixels[i] = pixels[i];
}
// 对图像进行尖锐化处理，Alpha值保持不变
ColorModel cm = ColorModel.getRGBdefault();
for
(
int
i =
1
; i < ih -
1
; i++) {
for
(
int
j =
1
; j < iw -
1
; j++) {
int
alpha = cm.getAlpha(pixels[i * iw + j]);
// 对图像进行尖锐化
int
red6 = cm.getRed(pixels[i * iw + j +
1
]);
int
red5 = cm.getRed(pixels[i * iw + j]);
int
red8 = cm.getRed(pixels[(i +
1
) * iw + j]);
int
sharpRed = Math.abs(red6 - red5) + Math.abs(red8 - red5);
int
green5 = cm.getGreen(pixels[i * iw + j]);
int
green6 = cm.getGreen(pixels[i * iw + j +
1
]);
int
green8 = cm.getGreen(pixels[(i +
1
) * iw + j]);
int
sharpGreen = Math.abs(green6 - green5)
+ Math.abs(green8 - green5);
int
blue5 = cm.getBlue(pixels[i * iw + j]);
int
blue6 = cm.getBlue(pixels[i * iw + j +
1
]);
int
blue8 = cm.getBlue(pixels[(i +
1
) * iw + j]);
int
sharpBlue = Math.abs(blue6 - blue5)
+ Math.abs(blue8 - blue5);
if
(sharpRed >
255
) {
sharpRed =
255
;
}
if
(sharpGreen >
255
) {
sharpGreen =
255
;
}
if
(sharpBlue >
255
) {
sharpBlue =
255
;
}
tempPixels[i * iw + j] = alpha <<
24
| sharpRed <<
16
| sharpGreen <<
8
| sharpBlue;
}
}
// 将数组中的象素产生一个图像
return
ImageIOHelper
.imageProducerToBufferedImage(
new
MemoryImageSource(iw, ih,
tempPixels,
0
, iw));
}
public
static
int
isWhite(
int
colorInt) {
Color color =
new
Color(colorInt);
if
(color.getRed() + color.getGreen() + color.getBlue() >
600
) {
return
1
;
}
return
0
;
}
public
BufferedImage removeBackgroud(){
BufferedImage img =
this
.image;
img = img.getSubimage(
1
,
1
, img.getWidth() -
2
, img.getHeight() -
2
);
int
width = img.getWidth();
int
height = img.getHeight();
double
subWidth = (
double
) width /
5.0
;
for
(
int
i =
0
; i <
5
; i++) {
Map<Integer, Integer> map =
new
HashMap<Integer, Integer>();
for
(
int
x = (
int
) (
1
+ i * subWidth); x < (i +
1
) * subWidth && x < width -
1
; ++x) {
for
(
int
y =
0
; y < height; ++y) {
if
(isWhite(img.getRGB(x, y)) ==
1
)
continue
;
if
(map.containsKey(img.getRGB(x, y))) {
map.put(img.getRGB(x, y), map.get(img.getRGB(x, y)) +
1
);
}
else
{
map.put(img.getRGB(x, y),
1
);
}
}
}
int
max =
0
;
int
colorMax =
0
;
for
(Integer color : map.keySet()) {
if
(max < map.get(color)) {
max = map.get(color);
colorMax = color;
}
}
for
(
int
x = (
int
) (
1
+ i * subWidth); x < (i +
1
) * subWidth && x < width -
1
; ++x) {
for
(
int
y =
0
; y < height; ++y) {
if
(img.getRGB(x, y) != colorMax) {
img.setRGB(x, y, Color.WHITE.getRGB());
}
else
{
img.setRGB(x, y, Color.BLACK.getRGB());
}
}
}
}
return
img;
}
/** 中值滤波 */
public
BufferedImage median() {
PixelGrabber pg =
new
PixelGrabber(image.getSource(),
0
,
0
, iw, ih,
pixels,
0
, iw);
try
{
pg.grabPixels();
}
catch
(InterruptedException e) {
e.printStackTrace();
}
// 对图像进行中值滤波，Alpha值保持不变
ColorModel cm = ColorModel.getRGBdefault();
for
(
int
i =
1
; i < ih -
1
; i++) {
for
(
int
j =
1
; j < iw -
1
; j++) {
int
red, green, blue;
int
alpha = cm.getAlpha(pixels[i * iw + j]);
//int red2 = cm.getRed(pixels[(i - 1) * iw + j]);
int
red4 = cm.getRed(pixels[i * iw + j -
1
]);
int
red5 = cm.getRed(pixels[i * iw + j]);
int
red6 = cm.getRed(pixels[i * iw + j +
1
]);
//int red8 = cm.getRed(pixels[(i + 1) * iw + j]);
// 水平方向进行中值滤波
if
(red4 >= red5) {
if
(red5 >= red6) {
red = red5;
}
else
{
if
(red4 >= red6) {
red = red6;
}
else
{
red = red4;
}
}
}
else
{
if
(red4 > red6) {
red = red4;
}
else
{
if
(red5 > red6) {
red = red6;
}
else
{
red = red5;
}
}
}
// int green2 = cm.getGreen(pixels[(i - 1) * iw + j]);
int
green4 = cm.getGreen(pixels[i * iw + j -
1
]);
int
green5 = cm.getGreen(pixels[i * iw + j]);
int
green6 = cm.getGreen(pixels[i * iw + j +
1
]);
// int green8 = cm.getGreen(pixels[(i + 1) * iw + j]);
// 水平方向进行中值滤波
if
(green4 >= green5) {
if
(green5 >= green6) {
green = green5;
}
else
{
if
(green4 >= green6) {
green = green6;
}
else
{
green = green4;
}
}
}
else
{
if
(green4 > green6) {
green = green4;
}
else
{
if
(green5 > green6) {
green = green6;
}
else
{
green = green5;
}
}
}
// int blue2 = cm.getBlue(pixels[(i - 1) * iw + j]);
int
blue4 = cm.getBlue(pixels[i * iw + j -
1
]);
int
blue5 = cm.getBlue(pixels[i * iw + j]);
int
blue6 = cm.getBlue(pixels[i * iw + j +
1
]);
// int blue8 = cm.getBlue(pixels[(i + 1) * iw + j]);
// 水平方向进行中值滤波
if
(blue4 >= blue5) {
if
(blue5 >= blue6) {
blue = blue5;
}
else
{
if
(blue4 >= blue6) {
blue = blue6;
}
else
{
blue = blue4;
}
}
}
else
{
if
(blue4 > blue6) {
blue = blue4;
}
else
{
if
(blue5 > blue6) {
blue = blue6;
}
else
{
blue = blue5;
}
}
}
pixels[i * iw + j] = alpha <<
24
| red <<
16
| green <<
8
| blue;
}
}
// 将数组中的象素产生一个图像
return
ImageIOHelper
.imageProducerToBufferedImage(
new
MemoryImageSource(iw, ih,
pixels,
0
, iw));
}
/** 线性灰度变换 */
public
BufferedImage lineGrey() {
PixelGrabber pg =
new
PixelGrabber(image.getSource(),
0
,
0
, iw, ih,
pixels,
0
, iw);
try
{
pg.grabPixels();
}
catch
(InterruptedException e) {
e.printStackTrace();
}
// 对图像进行进行线性拉伸，Alpha值保持不变
ColorModel cm = ColorModel.getRGBdefault();
for
(
int
i =
0
; i < iw * ih; i++) {
int
alpha = cm.getAlpha(pixels[i]);
int
red = cm.getRed(pixels[i]);
int
green = cm.getGreen(pixels[i]);
int
blue = cm.getBlue(pixels[i]);
// 增加了图像的亮度
red = (
int
) (
1.1
* red +
30
);
green = (
int
) (
1.1
* green +
30
);
blue = (
int
) (
1.1
* blue +
30
);
if
(red >=
255
) {
red =
255
;
}
if
(green >=
255
) {
green =
255
;
}
if
(blue >=
255
) {
blue =
255
;
}
pixels[i] = alpha <<
24
| red <<
16
| green <<
8
| blue;
}
// 将数组中的象素产生一个图像
return
ImageIOHelper
.imageProducerToBufferedImage(
new
MemoryImageSource(iw, ih,
pixels,
0
, iw));
}
/** 转换为黑白灰度图 */
public
BufferedImage grayFilter() {
ColorSpace cs = ColorSpace.getInstance(ColorSpace.CS_GRAY);
ColorConvertOp op =
new
ColorConvertOp(cs,
null
);
return
op.filter(image,
null
);
}
/** 平滑缩放 */
public
BufferedImage scaling(
double
s) {
AffineTransform tx =
new
AffineTransform();
tx.scale(s, s);
AffineTransformOp op =
new
AffineTransformOp(tx,
AffineTransformOp.TYPE_BILINEAR);
return
op.filter(image,
null
);
}
public
BufferedImage scale(Float s) {
int
srcW = image.getWidth();
int
srcH = image.getHeight();
int
newW = Math.round(srcW * s);
int
newH = Math.round(srcH * s);
// 先做水平方向上的伸缩变换
BufferedImage tmp =
new
BufferedImage(newW, newH, image.getType());
Graphics2D g = tmp.createGraphics();
for
(
int
x =
0
; x < newW; x++) {
g.setClip(x,
0
,
1
, srcH);
// 按比例放缩
g.drawImage(image, x - x * srcW / newW,
0
,
null
);
}
// 再做垂直方向上的伸缩变换
BufferedImage dst =
new
BufferedImage(newW, newH, image.getType());
g = dst.createGraphics();
for
(
int
y =
0
; y < newH; y++) {
g.setClip(
0
, y, newW,
1
);
// 按比例放缩
g.drawImage(tmp,
0
, y - y * srcH / newH,
null
);
}
return
dst;
}
}
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