Android图像处理系统1.4图像的锐化-边缘检测

/*
* 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;
}