android图像边缘检测 Android图像处理系统1.4图像的锐化-边缘检测

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./nuptboyzhb/article/details/7925994

2./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

for(j=0;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

for(j=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

for(j=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;

}

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