图像修补

/*利用已经被破坏区域的边缘， 颜色和结构 来繁殖和混合到破损的图像中

Void inpaint(
		Inputarray src,//原图  八位单通道 或者三通道 必须
		Inputarray inpainMask,//修复掩膜 八位单通道图像  非零表示修补
		Outputarray dst,//输出图
		Double inpaintRadius,// 需要修补点的圆形邻域，修复算法参考半径
		Int flags//修补方法标识符  
		)
		
		标识符	说明
		INPAINT_NS	基于Navier-Stokes方程方法
		INPAINT_TELEA	Alexandru Telea方法
	
*/
	#include 
	#include 
	#include 
	#include 
	using namespace std;
	using namespace cv;
	
	//*********************************
	//		图像修补
	//*********************************
	
	
	
	#define WINDOW_NAME1 "【原始图】"
	#define WINDOW_NAME2 "【修补后的效果图】"
	
	Mat srcimage1, inpaintMask;
	Point previousPoint(-1, -1);
	
	static void On_Mouse(int event, int x, int y, int flags, void *)
	{
		if (event == EVENT_LBUTTONUP || !(flags&EVENT_FLAG_LBUTTON))
			previousPoint = Point(-1, -1);
		else if (event == EVENT_LBUTTONDOWN)
			previousPoint = Point(x, y);
		else if (event == EVENT_MOUSEMOVE && (flags&EVENT_FLAG_LBUTTON))
		{
			Point pt(x, y);
			if (previousPoint.x < 0)
				previousPoint = pt;
			line(inpaintMask,
				previousPoint,
				pt,
				Scalar::all(255),
				5,
				8,
				0
			);
	
			line(srcimage1,
				previousPoint,
				pt,
				Scalar::all(255),
				5,
				8,
				0
			);
			previousPoint = pt;
			imshow(WINDOW_NAME1, srcimage1);
		}
	}
	
	int main()
	{
		//载入图片，初始化掩膜和灰度
		Mat srcImage = imread("C:/Users/hasee-pc/Desktop/girl.jpg",-1);
		srcimage1 = srcImage.clone();
		inpaintMask = Mat::zeros(srcimage1.size(), CV_8U);
	
		imshow(WINDOW_NAME1, srcimage1);
	
		setMouseCallback(WINDOW_NAME1, On_Mouse, 0);   
		while (1)
		{
			char c = waitKey();
			if (c == 27)
				break;
			if (c == '2')
			{
				inpaintMask=Scalar::all(0);
				srcImage.copySize(srcimage1);
				imshow(WINDOW_NAME1, srcimage1);
			}
			if (c == '1' || c == ' ')
			{
				Mat inpaintedImage;
				inpaint(srcimage1,
					inpaintMask,
					inpaintedImage,
					3,
					INPAINT_TELEA
				);
	
				imshow(WINDOW_NAME2, inpaintedImage);
			}
		}
		
		waitKey(0);
	}