如何在android处理图片( 图像二值化、锐化、转换格式).doc

链接：如何在android处理图片（ 图像二值化、锐化、转换格式）/thread-36559-1-1.htmlpackage net.wealthgod.client.center.ocr;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;public class ImageFilter private BufferedImage image; private int iw, ih; private int pixels; public ImageFilter(BufferedImage image) this.image = image; iw = image.getWidth(); ih = image.getHeight(); pixels = new intiw * 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 = 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 grey) red = 255; else red = 0; if (cm.getGreen(pixelsi) grey) green = 255; else green = 0; if (cm.getBlue(pixelsi) grey) blue = 255; else blue = 0; pixelsi = 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 intiw * ih; for (int i = 0; i iw * ih; i+) tempPixelsi = pixelsi; / 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 255) sharpRed = 255; if (sharpGreen 255) sharpGreen = 255; if (sharpBlue 255) sharpBlue = 255; tempPixelsi * 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); /* 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 = 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(pixelsi * iw + j - 1); int green5 = cm.getGreen(pixelsi * iw + j); int green6 = cm.getGreen(pixelsi * 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(pixelsi * iw + j - 1); int blue5 = cm.getBlue(pixelsi * iw + j); int blue6 = cm.getBlue(pixelsi * 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; pixelsi * 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 = 255) red = 255; if (green = 255) green = 255; if (blue = 255) blue = 255; pixelsi = 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