opencv---图像的掩模操作

版权声明：本文为博主原创文章，未经博主允许不得转载。 https://blog.csdn.net/u012372584/article/details/89157114

#include "stdafx.h"
#include <opencv.hpp>
using namespace cv;


int _tmain(int argc, _TCHAR* argv[])
{
	Mat src = imread("1.jpg", IMREAD_UNCHANGED);
	if (src.empty())
	{
		printf("Load src Image Error.");

		return -1;
	}

	namedWindow("src image", CV_WINDOW_AUTOSIZE);
	imshow("src image", src);

	CV_Assert(src.depth() == CV_8U);

	Mat dst;
	dst = Mat::zeros(src.size(), src.type());
	int cols = (src.cols - 1) * src.channels(); //原图像列数 - 1 * channels
	int rows = src.rows;                        //原图像行数
	int offset = src.channels();
	
	for (int row = 1; row < rows - 1; row++)
	{
		const uchar* pCur = src.ptr<uchar>(row);      //指向当前行指针
		const uchar* pPre = src.ptr<uchar>(row - 1);  //指向上一行指针
		const uchar* pNext = src.ptr<uchar>(row + 1); //指向下一行指针
		uchar* pOutput = dst.ptr<uchar>(row);         //指向目标图像的当前行指针

		for (int col = offset; col < cols; col++)
		{
			pOutput[col] = saturate_cast<uchar>(pCur[col] * 5 - (pCur[col - offset] + pCur[col + offset] + pPre[col] + pNext[col]));
		}
	}

	/* opencv中的掩模函数
	Mat kernel = (Mat_<char>(3,3) << 0,-1,0,-1,5, 0,-1,0,-1);
	filter2D(src,dst,src.depth(),kernel);
	*/

	namedWindow("dst image",CV_WINDOW_AUTOSIZE);
	imshow("dst image",dst);


	waitKey(0);

	return 0;
}

上例的掩模应用：提高图像的对比度