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OpenCV中掩膜操作(mask)实例

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#include
#include
#include

using namespace cv;
using namespace std;

void Sharpen(const Mat& myImage, Mat& Result)
{
CV_Assert(myImage.depth() == CV_8U); // accept only uchar images

Result.create(myImage.size(), myImage.type());
const int nChannels = myImage.channels();

for(int j = 1; j < myImage.rows - 1; ++j)
{
const uchar* previous = myImage.ptr(j - 1);
const uchar* current = myImage.ptr(j );
const uchar* next = myImage.ptr(j + 1);

uchar* output = Result.ptr(j);

for(int i = nChannels; i < nChannels * (myImage.cols - 1); ++i)
{
*output++ = saturate_cast(5 * current[i]
-current[i - nChannels] - current[i + nChannels] - previous[i] - next[i]);
}
}

Result.row(0).setTo(Scalar(0));
Result.row(Result.rows - 1).setTo(Scalar(0));
Result.col(0).setTo(Scalar(0));
Result.col(Result.cols - 1).setTo(Scalar(0));
}

int main( int argc, char** argv )
{
if( argc != 2)
{
cout <<" Usage: display_image ImageToLoadAndDisplay" << endl;
return -1;
}

Mat image;
image = imread(argv[1], IMREAD_COLOR); // Read the file

if(! image.data ) // Check for invalid input
{
cout << "Could not open or find the image" << std::endl ;
return -1;
}

// Processing here...
Mat sharp;
Sharpen(image, sharp);


namedWindow( "Display window", WINDOW_AUTOSIZE ); // Create a window for display.
imshow( "Display window", image ); // Show our image inside it.
imshow("Sharp", sharp);
waitKey(0); // Wait for a keystroke in the window

return 0;
}



参考:?http://www.opencv.org.cn/opencvdoc/2.3.1/html/doc/tutorials/core/mat-mask-operations/mat-mask-operations.html





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