java像素级图像处理与识别方法

v1.0可编写可更正java像素级图像办理与鉴别方法2008-06-2119:00转载，挺不错的文章朋友要求帮忙做一个图片识其余小程序，由于要用在特定的环境下，因此决定采用java语言实现。第一用matlab实现了鉴别算法的仿真，由于不过对特定的数字组合的鉴别，因此特其余简单，放弃采纳比较复杂的鉴别算法，采纳最一般的像素比较的鉴别算法。（假如背景噪声比较复杂，可以考虑先滤波后鉴别）在写java程序的时候发现一些问题，网上关于图片像素级操作的资料不是太多，有的还不是太正确，特此写出自己的成就与大家分享。核心类：BufferedImage，ImageIOImageIO类供给图象读写接口，可以对URL，InputStream等操作，获得图像信息十分的方便。ImageIO在.*的包中，属于jdk中的标准类。供给的方法有:read( )例：BufferedImageimd=(newFile(file));write( )例：(imd,"JPEG",newFile("C:\\test"+k+".gif"));etRGB(j,i);此刻我们获得了像素，可以看出像素是一个一维数组，你假如不习惯可以考虑保存在一个二维的数组中，而后就来实行你的看家算法，什么小波变换，拉普拉斯算子，尽管来吧。怎么样是否是很方便呢什么你忧如看不太懂，好给你一些源程序好了，包含像素分解和鉴别算法。源代码1v1.0可编写可更正/*Createdon2005-11-29TODOTochangethetemplateforthisgeneratedfilegotoWindow-Preferences-Java-CodeStyle-CodeTemplates*/package.*;importimportimport.*;importimportimport.*;publicclassMyImage{BufferedImageimd;mp");if"));=newim[k].getWidth(null);=newim[k].getHeight(null);2v1.0可编写可更正pix=newint[iw*ih];etRGB(j,i);if(pix[i*(iw)+j]==-1)pix[i*(iw)+j]=0;elsepix[i*(iw)+j]=1;x[k]=x[k]+pix[i*(iw)+j];}}获得像般配的数字。intr=(pix);(r);"x="+x[k]);}}catch(Exceptione){( );}3v1.0可编写可更正return( );}数字模板0-9staticint[][]value={//num0;{0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,0,0,0,0,0,0,1,1,1,1,1,0,0,0,0,0,1,1,0,0,1,1,0,0,0,1,1,0,0,0,0,1,1,0,0,1,1,0,0,0,0,1,1,0,0,1,1,0,0,0,0,1,1,0,0,1,1,0,0,0,0,1,1,0,0,0,1,1,0,0,1,1,0,0,4v1.0可编写可更正0,0,0,1,1,1,1,0,0,0,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0},//num1{0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,0,0,0,0,0,0,0,1,1,1,0,0,0,0,0,0,1,1,1,1,0,0,0,0,0,0,0,0,1,1,0,0,0,0,0,0,0,0,1,1,0,0,0,5v1.0可编写可更正0,0,0,0,0,1,1,0,0,0,0,0,0,0,0,1,1,0,0,0,0,0,0,0,0,1,1,0,0,0,0,0,0,0,0,1,1,0,0,0,1,1,1,1,1,1,1,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0},//num2,//num3,//num4,//num56v1.0可编写可更正,//num6,//num7,//num8,//num9};图像像素相减取绝对值获得最小熵的结果。publicintgetMatchNum(int[]pix){intresult=-1;inttemp=100;intx;for(intk=0;k<=9;k++){x=0;for(inti=0;i7v1.0可编写可更正x=x+(pix[i]-value[k][i]);}/*for(inta=0;a