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验证码图片

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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;
    
}
 
}

代码]将验证码抽取下来之后 零食存在本地 惊进行解析     跳至 [1] [全屏预览]

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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;
    
}
 
}

转载于:https://www.cnblogs.com/leo3689/p/4419580.html

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