OpenCV_(Laplacian Transform to find the edges)图像拉普拉斯变换查找边缘图像识别

骑猪看日落 2022-09-29 10:57 14阅读 0赞

//6. laplacian transform  拉普拉斯变换--------------------------------------------------------------------
    	
    	cv::Mat laplace;
    	LaplacianZCC laplacian;
    	laplacian.setAperture(7);
    	cv::Mat flap = laplacian.computeLaplacian(image);//计算
    	laplace = laplacian.getLaplacianImage();//获取
    
    	cv::namedWindow("laplace");//显示
    	cv::imshow("laplace", laplace);
    
    	//显示图像部分laplacian数据：从点（130,150）开始12X12
    	std::cout << std::endl;
    	for (int i = 0; i<15; i++) {
    		for (int j = 0; j<15; j++)
    			std::cout << std::setw(5) << static_cast<int>(flap.at<float>(i+135 , j+362) / 100) << " ";
    		std::cout << std::endl;
    	}
    	std::cout << std::endl;

cv::Mat LaplacianZCC::computeLaplacian(const cv::Mat & image)
    {
    	cv::Laplacian(image, laplace, CV_32F, aperture);
    	img = image.clone();//备份原图像用于零点交叉画线使用
    	return laplace;
    }
    
    //返回8位图像存储的Laplacian结果，零点交叉于灰度值128，若 未指定scale,则最大值将被放缩至强度255
    //使用前先调用computeLaplacian 计算laplace
    cv::Mat LaplacianZCC::getLaplacianImage(double scale)
    {
    	if (scale < 0)
    	{
    		double lapmin, lapmax;
    		cv::minMaxLoc(laplace, &lapmin, &lapmax);
    		scale = 127 / std::max(-lapmin, lapmax);
    	}
    	cv::Mat laplaceImage;
    	laplace.convertTo(laplaceImage, CV_8U, scale, 128);
    	return laplaceImage;
    }

#include <opencv2\core\core.hpp>
    #include <opencv2\highgui\highgui.hpp>
    #include <opencv2\imgproc\imgproc.hpp>
    
    class LaplacianZCC
    {
    public:
    	LaplacianZCC() :aperture(3)
    	{		
    	}
    	~LaplacianZCC();
    
    	void setAperture(int a)
    	{
    		aperture = a;
    	}
    	cv::Mat computeLaplacian(const cv::Mat &image);
    	cv::Mat getLaplacianImage(double scale = -1.0);
    private:
    	cv::Mat img; //原图
    	cv::Mat laplace; //laplacian的32位浮点图像
    	int aperture; //laplacian卷积核的大小
    };

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[20170315154517220]: /images/20220708/6257176b19104746b1b6fe22b1e38ada.png