您的位置:首页 > 运维架构

均值局部磨皮

2016-08-02 15:28 113 查看
#include<opencv2\opencv.hpp>
using namespace cv;
using namespace std;
Mat dealPix(Mat &img);
void dealImg(Mat &img);
int main() {
Mat img = imread("E://图片//实验.jpg");
if (img.empty()) {
return -1;
}

imshow("org", img);
dealImg(img);

waitKey(0);
destroyAllWindows;
return 0;
}
void dealImg(Mat &img) {
vector<Mat> channels;
split(img, channels);

for (int i = 0; i < 3; i++) {
channels[i] = dealPix(channels[i]);
}
merge(channels, img);
imshow("re", img);
}
Mat dealPix(Mat &img) {
Mat tem;
img.convertTo(tem, CV_32F);

int m = 5, n = 3;
Size dealSize((m * 2 + 1), (n * 2 + 1));
Mat box1, box2, box3;
boxFilter(tem, box1, CV_32F, dealSize);
Mat pic = tem - box1;

Mat rec1, rec2;
multiply(pic, pic, rec1);
boxFilter(rec1, box2, CV_32F, dealSize);

Mat k;
float segam = 60;
Mat fm = box2 + segam;
divide(box2, fm, k);

Mat box4;
boxFilter(k, box4, CV_32F, dealSize);
Mat result = (1 - box4).mul(box1) + box4.mul(tem);

result.convertTo(result, CV_8U);
return result;
}

效果:



记录:

内容来自用户分享和网络整理,不保证内容的准确性,如有侵权内容,可联系管理员处理 点击这里给我发消息
标签:  磨皮 opencv 局部模糊