http://www.oschina.net/code/snippet_616487_15391 原网址：
|
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 289 290 291 292 293 294 295 296 297 298 299 300 301 302 303 304 305 306 307 308 309 310 311 312 313 314 315 316 317 318 319 320 321 322 323 324 325 326 327 328 329 330 331 332 333 334 335 336 337 338 339 340 341 342 343 344 345 346 347 348 349 350 351 352 353 354 355 356 357 358 359 360 361 362 363 364 365 366 367 368 369 370 371 372 373 374 375 376 377 |
packagecom.coolinsoft.miaosha.util.ocr;importjava.awt.Color;importjava.awt.Graphics2D;importjava.awt.color.ColorSpace;importjava.awt.geom.AffineTransform;importjava.awt.image.AffineTransformOp;importjava.awt.image.BufferedImage;importjava.awt.image.ColorConvertOp;importjava.awt.image.ColorModel;importjava.awt.image.MemoryImageSource;importjava.awt.image.PixelGrabber;importjava.util.HashMap;importjava.util.Map;publicclassImageFilter { privateBufferedImage image; privateintiw, ih; //图片宽度、高度 privateint[] pixels; //像素 publicImageFilter(BufferedImage image) { this.image = image; iw = image.getWidth(); ih = image.getHeight(); pixels = newint[iw * ih]; } /** 图像二值化 */ publicBufferedImage changeGrey() { PixelGrabber pg = newPixelGrabber(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 intgrey = 150; // 对图像进行二值化处理，Alpha值保持不变 ColorModel cm = ColorModel.getRGBdefault(); for(inti = 0; i < iw * ih; i++) { intred, green, blue; intalpha = 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 returnImageIOHelper.imageProducerToBufferedImage(newMemoryImageSource(iw, ih,pixels, 0, iw)); } /** 提升清晰度,进行锐化 */ publicBufferedImage sharp() { PixelGrabber pg = newPixelGrabber(image.getSource(), 0, 0, iw, ih, pixels, 0, iw); try{ pg.grabPixels(); } catch(InterruptedException e) { e.printStackTrace(); } // 象素的中间变量 inttempPixels[] = newint[iw * ih]; for(inti = 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(inti = 1; i < ih - 1; i++) { for(intj = 1; j < iw - 1; j++) { intalpha = cm.getAlpha(pixels[i * iw + j]); // 对图像进行尖锐化 intred6 = cm.getRed(pixels[i * iw + j + 1]); intred5 = cm.getRed(pixels[i * iw + j]); intred8 = cm.getRed(pixels[(i + 1) * iw + j]); intsharpRed = Math.abs(red6 - red5) + Math.abs(red8 - red5); intgreen5 = cm.getGreen(pixels[i * iw + j]); intgreen6 = cm.getGreen(pixels[i * iw + j + 1]); intgreen8 = cm.getGreen(pixels[(i + 1) * iw + j]); intsharpGreen = Math.abs(green6 - green5) + Math.abs(green8 - green5); intblue5 = cm.getBlue(pixels[i * iw + j]); intblue6 = cm.getBlue(pixels[i * iw + j + 1]); intblue8 = cm.getBlue(pixels[(i + 1) * iw + j]); intsharpBlue = 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 returnImageIOHelper .imageProducerToBufferedImage(newMemoryImageSource(iw, ih, tempPixels, 0, iw)); } publicstaticintisWhite(intcolorInt) { Color color = newColor(colorInt); if(color.getRed() + color.getGreen() + color.getBlue() > 600) { return1; } return0; } public BufferedImage removeBackgroud(){ BufferedImage img = this.image; img = img.getSubimage(1, 1, img.getWidth() - 2, img.getHeight() - 2); intwidth = img.getWidth(); intheight = img.getHeight(); doublesubWidth = (double) width / 5.0; for(inti = 0; i < 5; i++) { Map<Integer, Integer> map = newHashMap<Integer, Integer>(); for(intx = (int) (1+ i * subWidth); x < (i + 1) * subWidth && x < width - 1; ++x) { for(inty = 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); } } } intmax = 0; intcolorMax = 0; for(Integer color : map.keySet()) { if(max < map.get(color)) { max = map.get(color); colorMax = color; } } for(intx = (int) (1+ i * subWidth); x < (i + 1) * subWidth && x < width - 1; ++x) { for(inty = 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()); } } } } returnimg; } /** 中值滤波 */ publicBufferedImage median() { PixelGrabber pg = newPixelGrabber(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(inti = 1; i < ih - 1; i++) { for(intj = 1; j < iw - 1; j++) { intred, green, blue; intalpha = cm.getAlpha(pixels[i * iw + j]); //int red2 = cm.getRed(pixels[(i - 1) * iw + j]); intred4 = cm.getRed(pixels[i * iw + j - 1]); intred5 = cm.getRed(pixels[i * iw + j]); intred6 = 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]); intgreen4 = cm.getGreen(pixels[i * iw + j - 1]); intgreen5 = cm.getGreen(pixels[i * iw + j]); intgreen6 = 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]); intblue4 = cm.getBlue(pixels[i * iw + j - 1]); intblue5 = cm.getBlue(pixels[i * iw + j]); intblue6 = 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 returnImageIOHelper .imageProducerToBufferedImage(newMemoryImageSource(iw, ih, pixels, 0, iw)); } /** 线性灰度变换 */ publicBufferedImage lineGrey() { PixelGrabber pg = newPixelGrabber(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(inti = 0; i < iw * ih; i++) { intalpha = cm.getAlpha(pixels[i]); intred = cm.getRed(pixels[i]); intgreen = cm.getGreen(pixels[i]); intblue = 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 returnImageIOHelper .imageProducerToBufferedImage(newMemoryImageSource(iw, ih, pixels, 0, iw)); } /** 转换为黑白灰度图 */ publicBufferedImage grayFilter() { ColorSpace cs = ColorSpace.getInstance(ColorSpace.CS_GRAY); ColorConvertOp op = newColorConvertOp(cs, null); returnop.filter(image, null); } /** 平滑缩放 */ publicBufferedImage scaling(doubles) { AffineTransform tx = newAffineTransform(); tx.scale(s, s); AffineTransformOp op = newAffineTransformOp(tx, AffineTransformOp.TYPE_BILINEAR); returnop.filter(image, null); } publicBufferedImage scale(Float s) { intsrcW = image.getWidth(); intsrcH = image.getHeight(); intnewW = Math.round(srcW * s); intnewH = Math.round(srcH * s); // 先做水平方向上的伸缩变换 BufferedImage tmp = newBufferedImage(newW, newH, image.getType()); Graphics2D g = tmp.createGraphics(); for(intx = 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 = newBufferedImage(newW, newH, image.getType()); g = dst.createGraphics(); for(inty = 0; y < newH; y++) { g.setClip(0, y, newW, 1); // 按比例放缩 g.drawImage(tmp, 0, y - y * srcH / newH, null); } returndst; }}
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]
|
转载于:https://www.cnblogs.com/leo3689/p/4419580.html
版权声明：本文内容由互联网用户自发贡献，该文观点仅代表作者本人。本站仅提供信息存储空间服务，不拥有所有权，不承担相关法律责任。如发现本站有涉嫌侵权/违法违规的内容， 请发送邮件至 举报，一经查实，本站将立刻删除。
发布者：全栈程序员-用户IM，转载请注明出处：https://javaforall.cn/109492.html原文链接：https://javaforall.cn
【正版授权，激活自己账号】： Jetbrains全家桶Ide使用，1年售后保障，每天仅需1毛
【官方授权 正版激活】： 官方授权 正版激活 支持Jetbrains家族下所有IDE 使用个人JB账号...
