本文共 2265 字,大约阅读时间需要 7 分钟。
参考: http://blog.csdn.net/lanphaday/archive/2007/10/28/1852726.aspx http://www.zhuaxia.com/item/852269537 java package Main; import java.awt.image.BufferedImage; import java.net.URL; import javax.imageio.ImageIO; public class Test { public static void main(String[] args) throws Exception { BufferedImage img = ImageIO.read( new URL( " file:/C:/src/python/gve/22.jpeg " )); int imgWith = img.getWidth(); int imgHeight = img.getHeight(); int bgint = img.getRGB( 0 , 0 ); for ( int y = 0 ; y < imgHeight; y ++ ) { System.out.println(); for ( int x = 0 ; x < imgWith; x ++ ) { System.out.print(getBit(img, x, y,bgint)); } } } private static char getBit(BufferedImage img, int x, int y, int bgint) { int intCurtColor; intCurtColor = img.getRGB(x, y); return (intCurtColor == bgint) ? ' 0 ' : ' ' ; } } 000 000 0 0 00 0 0 0 0 0 000 00 0 0 0 0 0 00 00 0 0 00 0 00 0 00 0 0000 0 0 0 0 0 0 00 0 0 00 0 0 0 00 0 00 0 00 0 0 00 0 0 0 0 0 0 0 00 0 00 00 0 0 0 0 0 00 0 0 0 0 00 0 0 0 0 0 00 0 0 0 00 0 0 00 0 0 00 00 0 0 00 0 0 0 0 00 0 0 0 00 0 0 0 0 0 0 0 00 0 0 00 0000 python # encoding=utf-8 import Image,ImageEnhance,ImageFilter import sys image_name = " ./22.jpeg " #去处 干扰点 im = Image.open(image_name) im = im.filter(ImageFilter.MedianFilter()) enhancer = ImageEnhance.Contrast(im) im = enhancer.enhance( 2 ) im = im.convert( ' 1 ' ) # im.show() #测试查看 s = 12 # 启始 切割点 x t = 2 # 启始 切割点 y w = 10 # 切割 宽 +y h = 15 # 切割 长 +x im_new = [] for i in range( 4 ): # 验证码切割 im1 = im.crop((s + w * i + i * 2 ,t,s + w * (i + 1 ) + i * 2 ,h)) im_new.append(im1) # im_new[0].show()#测试查看 xsize, ysize = im_new[0].size gd = [] for i in range(ysize): tmp = [] for j in range(xsize): if ( im_new[0].getpixel((j,i)) == 255 ): tmp.append( 1 ) else : tmp.append(0) gd.append(tmp) #看效果 for i in range(ysize): print gd[i] 比如 "0" [ 1, 1, 0, 0, 0, 0, 1, 1, 1, 1 ] [0, 0, 0, 0, 0, 0, 0, 1, 1, 1 ] [0, 0, 0, 1, 1, 0, 0, 0, 0, 1 ] [0, 0, 1, 1, 1, 1, 0, 0, 0, 1 ] [0, 0, 1, 1, 1, 1, 0, 0, 0, 1 ] [0, 0, 1, 1, 1, 1, 0, 0, 0, 1 ] [0, 0, 1, 1, 1, 1, 0, 0, 0, 1 ] [0, 0, 1, 1, 1, 1, 0, 0, 0, 1 ] [0, 0, 1, 1, 1, 1, 0, 0, 0, 1 ] [0, 0, 0, 1, 1, 1, 0, 0, 0, 1 ] [0, 0, 0, 1, 1, 0, 0, 0, 0, 1 ] [ 1 , 0, 0, 0, 0, 0, 0, 0, 1, 1 ] [ 1, 1, 0, 0, 0, 0, 0, 1, 1, 1 ] 有时间 在学习下 匹配。
本文转自博客园刘凯毅的博客,原文链接:,如需转载请自行联系原博主。