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【Java】破解验证码
作者:云风9527 / 发布于2012/11/13/ 545
破解验证码
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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