图像识别Java

1、最近一直在开发一个用于自动发帖的工具,用 HttpClient 模拟客户端浏览器注册发帖。但是碰到了 图形验证码的问题了,对单数字的验证码,通过一些 OCR 引擎,如:tesseract , AspriseOCR 很容 易解决问题。但碰到如 CSDN 论坛这中图形验证码就比较麻烦,必须先通过预处理。使图象二值化,黑 白灰度,增加亮度。我的代码如下:002003 package myfilter;004 import java.io.*;005 import java.awt.image.*;006 import java.awt.geom.AffineTransform;007 import

2、java.awt.color.ColorSpace;008 import java.awt.image.ConvolveOp;009 import java.awt.image.Kernel;010 import java.awt.image.BufferedImage;011 import javax.imageio.ImageIO;012 import java.awt.Toolkit;013 import java.awt.Image;014 public class MyImgFilter 015 BufferedImage image;016 private int iw, ih;0

3、17 private int pixels;018 public MyImgFilter(BufferedImage image 019 this .image = image;020 iw = image.getWidth(;021 ih = image.getHeight(;022 pixels = new int iw * ih;023 024 public BufferedImage changeGrey( 025 PixelGrabber pg = new PixelGrabber(image.getSource(, 0, 0, iw, ih, pixels,0, iw;026 tr

4、y 027 pg.grabPixels(;028 catch (InterruptedException e 029 e.printStackTrace(;030 031 / 设定二值化的域值,默认值为 100032 int grey = 100;033 / 对图像进行二值化处理, Alpha 值保持不变034 ColorModel cm = ColorModel.getRGBdefault(;035 for (int i = 0; i < iw * ih; i+ 036 int red, green, blue;037 int alpha = cm.getAlpha(pixelsi;0

5、38 if (cm.getRed(pixelsi > grey 039 red = 255;040 else 041 red = 0;042 043 if (cm.getGreen(pixelsi > grey 044 green = 255;045 else 046 green = 0;047 048 if (cm.getBlue(pixelsi > grey 049 blue = 255;050 else 051 blue = 0;052 053 pixelsi = alpha << 24 | red << 16 | green <<

6、8 | blue; /通过移位重新构成某一 点像素的 RGB 值054 055 / 将数组中的象素产生一个图像056 Image tempImg=Toolkit.getDefaultToolkit(.createImage(new MemoryImageSource(iw,ih, pixels, 0, iw;057 image = new BufferedImage(tempImg.getWidth(null ,tempImg.getHeight(null , BufferedImage.TYPE_INT_BGR ;058 image.createGraphics(.drawImage(tem

7、pImg, 0, 0, null ;059 return image;060 061 public BufferedImage getMedian( 062 PixelGrabber pg = new PixelGrabber(image.getSource(, 0, 0, iw, ih, 063 pixels,064 0, iw;065 try 066 pg.grabPixels(;067 catch (InterruptedException e 068 e.printStackTrace(;069 070 / 对图像进行中值滤波, Alpha 值保持不变071 ColorModel cm

8、 = ColorModel.getRGBdefault(;072 for (int i = 1; i < ih - 1; i+ 073 for (int j = 1; j < iw - 1; j+ 074 int red, green, blue;075 int alpha = cm.getAlpha(pixelsi * iw + j;076 / int red2 = cm.getRed(pixels(i - 1 * iw + j;077 int red4 = cm.getRed(pixelsi * iw + j - 1;078 int red5 = cm.getRed(pixel

9、si * iw + j;079 int red6 = cm.getRed(pixelsi * iw + j + 1; 080 / int red8 = cm.getRed(pixels(i + 1 * iw + j; 081 / 水平方向进行中值滤波082 if (red4 >= red5 083 if (red5 >= red6 084 red = red5;085 else 086 if (red4 >= red6 087 red = red6;088 else 089 red = red4;090 091 092 else 093 if (red4 > red6

10、094 red = red4;095 else 096 if (red5 > red6 097 red = red6;098 else 099 red = red5;100 101 102 103 int green4 = cm.getGreen(pixelsi * iw + j - 1; 104 int green5 = cm.getGreen(pixelsi * iw + j; 105 int green6 = cm.getGreen(pixelsi * iw + j + 1; 106 / 水平方向进行中值滤波107 if (green4 >= green5 108 if (g

11、reen5 >= green6 109 green = green5;110 else 111 if (green4 >= green6 112 green = green6;113 else 114 green = green4;115 116 117 else 118 if (green4 > green6 120 else 121 if (green5 > green6 122 green = green6;123 else 124 green = green5;125 126 127 128 / int blue2 = cm.getBlue(pixels(i -

12、 1 * iw + j; 129 int blue4 = cm.getBlue(pixelsi * iw + j - 1; 130 int blue5 = cm.getBlue(pixelsi * iw + j;131 int blue6 = cm.getBlue(pixelsi * iw + j + 1; 132 / int blue8 = cm.getBlue(pixels(i + 1 * iw + j; 133 / 水平方向进行中值滤波134 if (blue4 >= blue5 135 if (blue5 >= blue6 136 blue = blue5;137 else

13、 138 if (blue4 >= blue6 140 else 141 blue = blue4;142 143 144 else 145 if (blue4 > blue6 146 blue = blue4;147 else 148 if (blue5 > blue6 149 blue = blue6;150 else 151 blue = blue5;152 153 154 155 pixelsi * iw +156 j = alpha << 24 | red << 16 | green << 8 | blue; 157 158 15

14、9 / 将数组中的象素产生一个图像160 Image tempImg=Toolkit.getDefaultToolkit(.createImage(new MemoryImageSource(iw,ih, pixels, 0, iw;161 image = new BufferedImage(tempImg.getWidth(null ,tempImg.getHeight(null , BufferedImage.TYPE_INT_BGR ;162 image.createGraphics(.drawImage(tempImg, 0, 0, null ;163 return image;164

15、 165 public BufferedImage getGrey( 166 ColorConvertOpccp=new ColorConvertOp(ColorSpace.getInstance(ColorSpace.CS_GRAY,null ;167 return image=ccp.filter(image,null ;168 169 /Brighten using a linear formula that increases all color values170 public BufferedImage getBrighten( 171 RescaleOp rop=new Resc

16、aleOp(1.25f, 0, null ;172 return image=rop.filter(image,null ;173 174 /Blur by "convolving" the image with a matrix175 public BufferedImage getBlur( 176 float data = 177 .1111f, .1111f, .1111f,178 .1111f, .1111f, .1111f,179 .1111f, .1111f, .1111f, ;180 ConvolveOp cop = new ConvolveOp(new K

17、ernel(3, 3, data; 181 return image=cop.filter(image,null ;182 183 / Sharpen by using a different matrix184 public BufferedImage getSharpen( 185 float data = 186 0.0f, -0.75f, 0.0f,187 -0.75f, 4.0f, -0.75f,188 0.0f, -0.75f, 0.0f;189 ConvolveOp cop = new ConvolveOp(new Kernel(3, 3, data; 190 return im

18、age=cop.filter(image,null ;191 192 / 11 Rotate the image 180 degrees about its center point 193 public BufferedImage getRotate( 19 4 AffineTransformOpatop=new AffineTransformOp(AffineTransform.getRotateInstance(Math.PI,image.get Width(/2,image.getHeight(/2,195 AffineTransformOp.TYPE_NEAREST_NEIGHBOR; 196 return image=atop.filter(image,null ;197 198 public BufferedImage getProcessedImg( 199 2