opencv中值滤波和低通滤波器对椒盐噪声处理的效果比较

效果：

通过比较我们可以看出，中值滤波器有很好的保留了图像的边界信息

代码：

void showimage(const std::string &str,const cv::Mat &image){

	namedWindow(str,CV_WINDOW_AUTOSIZE);
	imshow(str,image);
}

Mat salt(const cv::Mat &image,int n){

	Mat result = image.clone();
	for (int i = 0; i<n;++i)
	{
		int row = rand()%result.rows;
		int col = rand()%result.cols;
		result.at<Vec3b>(row,col)[0] = 255;
		result.at<Vec3b>(row,col)[1] = 255;
		result.at<Vec3b>(row,col)[2] = 255;

	}
	return result;
}

int _tmain(int argc, _TCHAR* argv[])
{

	Mat image = imread("boldt.jpg");
	showimage("image",image);
	Mat saltimage = salt(image,500);
	showimage("saltimage",saltimage);
	Mat medianimage,blurimage;
	blur(saltimage,blurimage,Size(5,5));
	showimage("blurimage",blurimage);
	medianBlur(saltimage,medianimage,5);
	showimage("medianimage",medianimage);
	waitKey(0);
	return 0;
}

opencv中值滤波和低通滤波器对椒盐噪声处理的效果比较,布布扣,bubuko.com