拉普拉斯二阶锐化
|0 |-1 |0
|-1|5|-1
| 0|-1 |0
#include "opencv2/opencv.hpp"
#include <iostream>
using namespace std;
using namespace cv;
//opencv mask(拉普拉斯锐化)
//0 -1 0
//-1 5 -1
//0 -1 0
void sharp(const Mat& myImage, Mat& result)
{
CV_Assert(myImage.depth() == CV_8U);
const int channels = myImage.channels();
cout << "channels= " << channels << endl;
result.create(myImage.size(), myImage.type()); //创建于元素图像一样类型的大小
for (int j = 1; j < myImage.rows - 1; ++j)
{
const uchar* previous = myImage.ptr<uchar>(j - 1);
const uchar* current = myImage.ptr<uchar>(j);
const uchar* next = myImage.ptr<uchar>(j + 1);
uchar* output = result.ptr<uchar>(j);//指向输出图像的第j行的指针
//内循环,按列扫描,此处相当于对每个通道单独滤波
for (int i = channels; i < channels*(myImage.cols - 1); ++i)
{
//掩码算子,锐化,二维拉普拉斯
*output++ = saturate_cast<uchar>(6 * current[i] - current[i - channels] - current[i + channels] - 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()
{
Mat a;
a = imread("../../lena_color.tif", IMREAD_COLOR);
if (a.empty())
return - 1;
imshow("original", a);
Mat b;
sharp(a, b);
imshow("sharp", b);
waitKey(0);
return 0;
}