Android图像处理系统1.4图像的锐化-边缘检测

图像的锐化-边缘检测：(Robert Gradient、Sobel Gradient、Laplace Gradient)

@author：郑海波

相关博客：

1.http://blog.csdn.net/nuptboyzhb/article/details/7925994

2.http://blog.csdn.net/nuptboyzhb/article/details/7926407

1.Robert Gradient

[图1]

2.Sobel Gradient

[图2]

3.Laplace Gradient

[图3]

关键的Java代码

/* * Robert算子梯度 *  */public Bitmap RobertGradient(Bitmap myBitmap){// Create new array    int width = myBitmap.getWidth();    int height = myBitmap.getHeight();    int[] pix = new int[width * height];    myBitmap.getPixels(pix, 0, width, 0, 0, width, height);    Matrix dataR=getDataR(pix, width, height);    Matrix dataG=getDataG(pix, width, height);    Matrix dataB=getDataB(pix, width, height);    //Matrix dataGray=getDataGray(pix, width, height);    /////////////////////////////////////////////////////////    dataR=eachRobertGradient(dataR,width,height);    dataG=eachRobertGradient(dataG,width,height);    dataB=eachRobertGradient(dataB,width,height);    ///////////////////////////////////////////////////////////////    // Change bitmap to use new array    Bitmap bitmap=makeToBitmap(dataR, dataG, dataB, width, height);    myBitmap = null;    pix = null;    return bitmap;}private Matrix eachRobertGradient(Matrix tempM,int width,int height){int i,j;for(i=0;i<width-1;i++){for(j=0;j<height-1;j++){int temp=Math.abs((int)tempM.get(i, j)-(int)tempM.get(i,j+1)) +Math.abs((int)tempM.get(i+1,j)-(int)tempM.get(i,j+1));tempM.set(i, j, temp);}}return tempM;}/* *Sobel算子锐化  */public Bitmap SobelGradient(Bitmap myBitmap){// Create new array    int width = myBitmap.getWidth();    int height = myBitmap.getHeight();    int[] pix = new int[width * height];    myBitmap.getPixels(pix, 0, width, 0, 0, width, height);    Matrix dataR=getDataR(pix, width, height);    Matrix dataG=getDataG(pix, width, height);    Matrix dataB=getDataB(pix, width, height);    Matrix dataGray=getDataGray(pix, width, height);    /////////////////////////////////////////////////////////    dataGray=eachSobelGradient(dataGray, width, height);    dataR=dataGray.copy();    dataG=dataGray.copy();    dataB=dataGray.copy();    ///////////////////////////////////////////////////////////////    // Change bitmap to use new array    Bitmap bitmap=makeToBitmap(dataR, dataG, dataB, width, height);    myBitmap = null;    pix = null;    return bitmap;}private Matrix eachSobelGradient(Matrix tempM,int width,int height){int i,j;Matrix resultMatrix=tempM.copy();for(i=1;i<width-1;i++){for(j=1;j<height-1;j++){int temp1=Math.abs(((int)tempM.get(i+1, j-1)+2*(int)tempM.get(i+1, j)+(int)tempM.get(i+1,j+1)) -(((int)tempM.get(i-1,j-1)+2*(int)tempM.get(i-1,j)+(int)tempM.get(i-1,j-1))));int temp2=Math.abs(((int)tempM.get(i-1, j+1)+2*(int)tempM.get(i, j+1)+(int)tempM.get(i+1,j+1)) -(((int)tempM.get(i-1,j-1)+2*(int)tempM.get(i,j-1)+(int)tempM.get(i+1,j-1))));int temp=temp1+temp2;resultMatrix.set(i, j, temp);}}return resultMatrix;}/* *Laplace 锐化  */public Bitmap LaplaceGradient(Bitmap myBitmap){// Create new array    int width = myBitmap.getWidth();    int height = myBitmap.getHeight();    int[] pix = new int[width * height];    myBitmap.getPixels(pix, 0, width, 0, 0, width, height);    Matrix dataR=getDataR(pix, width, height);    Matrix dataG=getDataG(pix, width, height);    Matrix dataB=getDataB(pix, width, height);    Matrix dataGray=getDataGray(pix, width, height);    /////////////////////////////////////////////////////////    dataGray=eachLaplaceGradient(dataGray,width,height);    dataR=dataGray.copy();    dataG=dataGray.copy();    dataB=dataGray.copy();    ///////////////////////////////////////////////////////////////    // Change bitmap to use new array    Bitmap bitmap=makeToBitmap(dataR, dataG, dataB, width, height);    myBitmap = null;    pix = null;    return bitmap;}private Matrix eachLaplaceGradient(Matrix tempM,int width,int height){int i,j;Matrix resultMatrix=tempM.copy();for(i=1;i<width-1;i++){for(j=1;j<height-1;j++){int temp=Math.abs(5*(int)tempM.get(i, j)-(int)tempM.get(i+1,j)-(int)tempM.get(i-1,j)-(int)tempM.get(i,j+1)-(int)tempM.get(i,j-1));resultMatrix.set(i, j, temp);}}return resultMatrix;}

Android图像处理系统1.4图像的锐化-边缘检测

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