数据结构----结构--线性结构--递归

 中值滤波

medianBlur(frame, detectmat, 5);

平均滤波

blur(frame, detectmat, Size(5, 5));

高斯滤波（最后一个是方差 越大越模糊）

GaussianBlur(frame, detectmat, Size(5, 5),0);

Sobel(gray, dx, CV_16S, 1, 0, 3);//x方向的 因为是1，0
convertScaleAbs(dx, dx);//转换绝对值
Sobel(gray, dy, CV_16SC1, 0, 1, 3);//y方向的 因为0，1
convertScaleAbs(dy, dy);
Sobel(gray, dx_add_dy1, CV_16SC1, 1, 1, 3);//尝试一下1，1 发现并不是简单的都叠加
convertScaleAbs(dx_add_dy1, dx_add_dy1);//效果不好 为啥？

addWeighted(dx, 0.5, dy, 0.5, 0, dx_add_dy2);只能互相单独做 然后再叠加的方式 效果很好

人脸阈值

//肤色h					
		double i_minH = 0;
		double i_maxH = 20;

		//肤色颜色饱和度s
		double i_minS = 43;
		double i_maxS = 255;

		//肤色颜色亮度v
		double i_minV = 55;
		double i_maxV = 255;

将原图转化为HSV类型，找出人脸并并给maskmat（这里是一个区域，人脸所包含是roi）

		cvtColor(frame, hsvMat, COLOR_BGR2HSV);
		frame.copyTo(maskMat);
		cv::inRange(hsvMat, Scalar(i_minH, i_minS, i_minV), Scalar(i_maxH, i_maxS, i_maxV), maskMat);

对原图进行高斯滤波

GaussianBlur(frame, guss_Mat, Size(5, 5), 3, 0);

将高斯滤波后的人脸区域替换到原图上

		frame.copyTo(objectMat);
		guss_Mat.copyTo(objectMat, maskMat);

		imshow("磨皮后", objectMat);

完整代码：

#include <opencv2/opencv.hpp>
#include<iostream>
using namespace std;
using namespace cv;

int main() {


	VideoCapture cap(0);
	while (1) {

		Mat frame;
		
		Mat detectmat;
		Mat dx;
		Mat dy;
		Mat dx_add_dy1;
		Mat dx_add_dy2;
		Mat gray;

		cap >> frame;
		cvtColor(frame, gray, COLOR_BGR2GRAY);
		frame.copyTo(detectmat);
		
		//medianBlur(frame, detectmat, 5);
		//blur(frame, detectmat, Size(5, 5));
		//GaussianBlur(frame, detectmat, Size(5, 5),0); //最后一个是方差 越大越模糊
		Sobel(gray, dx, CV_16S, 1, 0, 3);
		convertScaleAbs(dx, dx);
		Sobel(gray, dy, CV_16SC1, 0, 1, 3);
		convertScaleAbs(dy, dy);
		Sobel(gray, dx_add_dy1, CV_16SC1, 1, 1, 3);
		convertScaleAbs(dx_add_dy1, dx_add_dy1);//效果不好 为啥？

		addWeighted(dx, 0.5, dy, 0.5, 0, dx_add_dy2);

		//imshow("frame", frame);

		//imshow("detect", detectmat);

		imshow("dx", dx);
		imshow("dy", dy);
		imshow("dx_add_dy1", dx_add_dy1);//效果不好
		imshow("dx_add_dy2", dx_add_dy2);

		/

		
		Mat hsvMat;
		Mat maskMat;
		Mat objectMat;
		Mat guss_Mat;

		//肤色h					
		double i_minH = 0;
		double i_maxH = 20;

		//肤色颜色饱和度s
		double i_minS = 43;
		double i_maxS = 255;

		//肤色颜色亮度v
		double i_minV = 55;
		double i_maxV = 255;

		cvtColor(frame, hsvMat, COLOR_BGR2HSV);
		frame.copyTo(maskMat);
		cv::inRange(hsvMat, Scalar(i_minH, i_minS, i_minV), Scalar(i_maxH, i_maxS, i_maxV), maskMat);
		GaussianBlur(frame, guss_Mat, Size(5, 5), 3, 0);
		frame.copyTo(objectMat);
		guss_Mat.copyTo(objectMat, maskMat);

		imshow("磨皮后", objectMat);

		waitKey(30);
	}











	return 0;
}