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: package myfilter;import java.io.*;import java.awt.image.*;import java.awt.geom.AffineTransform;import java.awt.color.ColorSpace;import java.awt.image.ConvolveOp;import java.awt.image.Kernel;import java.awt.image.BufferedImage;import javax.imageio.ImageIO;import java.awt.Toolkit;import java.awt.Image;public class MyImgFilter {BufferedImage image;private int iw, ih;private int[] pixels;public MyImgFilter(BufferedImage image) {this.image = image;iw = image.getWidth();ih = image.getHeight();pixels = new int[iw * ih];}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100int grey = 100;// 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; //通过移位重新构成某一点像素的RGB值}// 将数组中的象素产生一个图像Image tempImg=Toolkit.getDefaultToolkit().createImage(new MemoryImageSource(iw,ih, pixels, 0, iw));image = new BufferedImage(tempImg.getWidth(null),tempImg.getHeight(null), BufferedImage.TYPE_INT_BGR );image.createGraphics().drawImage(tempImg, 0, 0, null);return image;}public BufferedImage getMedian() {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 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]);// 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Image tempImg=Toolkit.getDefaultToolkit().createImage(new MemoryImageSource(iw,ih, pixels, 0, iw));image = new BufferedImage(tempImg.getWidth(null),tempImg.getHeight(null), BufferedImage.TYPE_INT_BGR );image.createGraphics().drawImage(tempImg, 0, 0, null);return image;}public BufferedImage getGrey() {ColorConvertOp ccp=new ColorConvertOp(ColorSpace.getInstance(ColorSpace.CS_GRAY), null);return image=ccp.filter(image,null);}//Brighten using a linear formula that increases all color valuespublic BufferedImage getBrighten() {RescaleOp rop=new RescaleOp(1.25f, 0, null);return image=rop.filter(image,null);}//Blur by "convolving" the image with a matrixpublic BufferedImage getBlur() {float[] data = {.1111f, .1111f, .1111f,.1111f, .1111f, .1111f,.1111f, .1111f, .1111f, };ConvolveOp cop = new ConvolveOp(new Kernel(3, 3, data));return image=cop.filter(image,null);}// Sharpen by using a different matrixpublic BufferedImage getSharpen() {float[] data = {0.0f, -0.75f, 0.0f,-0.75f, 4.0f, -0.75f,0.0f, -0.75f, 0.0f};ConvolveOp cop = new ConvolveOp(new Kernel(3, 3, data));return image=cop.filter(image,null);}// 11) Rotate the image 180 degrees about its center pointpublic BufferedImage getRotate() {AffineTransformOp atop=new AffineTransformOp(AffineTransform.getRotateInstance(Math.PI,image.getWidth()/2,image.getHeight()/2),AffineTransformOp.TYPE_NEAREST_NEIGHBOR);return image=atop.filter(image,null);}public BufferedImage getProcessedImg(){return image;}public static void main(String[] args) throws IOException {FileInputStream fin=new FileInputStream(args[0]);BufferedImage bi=ImageIO.read(fin);MyImgFilter flt=new MyImgFilter(bi);flt.changeGrey();flt.getGrey();flt.getBrighten();bi=flt.getProcessedImg();String pname=args[0].substring(0,args[0].lastIndexOf("."));File file = new File(pname+".jpg");ImageIO.write(bi, "jpg", file);}}运行java myfilter.MyImgFilter t6.bmp,请确认图片t6.bmp与myfilter目录在同一目录下。顺便说一下,在JDK1.5下,ImageIO可以输出JPG,BMP,PNG三种格式图片,但不支持GIF图片输出。

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