OpenCV2马拉松第16圈——边缘检测(形态学梯度)

收入囊中

• 利用OpenCV函数进行形态学梯度操作
• 自定义结构矩阵进行形态学梯度操作

先介绍一个类

class MorphoFeatures {
private:

	int threshold;  //用于阀值操作
	
	void applyThreshold(Mat& result) {
		if (threshold>0)
			cv::threshold(result, result,threshold, 255, THRESH_BINARY_INV); //注意参数是THRESH_BINARY_INV,当<threshold为255，否则为0，倒过来了
	}

public:

	void setThreshold(int x) {
		threshold = x;
	}

	Mat getEdges(const Mat &image) {
		Mat result;
		morphologyEx(image,result,MORPH_GRADIENT,Mat());  //直接调用，默认3*3
		applyThreshold(result);
		return result;
   	}
   	
};

int main( int, char** argv )  
{  
	Mat image;
    image = imread( argv[1] );
    cvtColor( image, image, CV_RGB2GRAY );
    
	MorphoFeatures morpho;
	morpho.setThreshold(40); 
	Mat edges;
	edges= morpho.getEdges(image);

    namedWindow("dstImage", 1);  
    imshow("dstImage", edges);  
    waitKey();  
    return 0;  
} 

我们再基于公式自己实现一下，修改的地方很少，主函数没有变化（不一样的地方有注释）

class MorphoFeatures {
private:

	int threshold;
	Mat structedElement;  //自己定义的结构矩阵
	
	void applyThreshold(Mat& result) {
		if (threshold>0)
			cv::threshold(result, result,threshold, 255, THRESH_BINARY_INV);
	}

public:

	MorphoFeatures() : structedElement(3,3,CV_8U,Scalar(1)){} //没有使用API而是直接构造

	void setThreshold(int x) {
		threshold = x;
	}

	Mat getEdges(const Mat &image) {
		Mat result,result1,result2;
		dilate(image,result1,structedElement);  //先膨胀
		erode(image,result2,structedElement);   //再腐蚀
		result = result1 - result2;             //然后相减
		applyThreshold(result);
		return result;
   	}
   	
};

#include "opencv2/highgui/highgui.hpp"  
#include "opencv2/imgproc/imgproc.hpp"  
using namespace cv;  

class MorphoFeatures {
private:

	int threshold;
	Mat structedElement;
	
	void applyThreshold(Mat& result) {
		if (threshold>0)
			cv::threshold(result, result,threshold, 255, THRESH_BINARY_INV);
	}

public:

	MorphoFeatures() {
		structedElement = getStructuringElement( MORPH_ELLIPSE,  Size( 3, 3 ));  
	}

	void setThreshold(int x) {
		threshold = x;
	}

	Mat getEdges(const Mat &image) {
		Mat result,result1,result2;
		dilate(image,result1,structedElement);
      	erode(image,result2,structedElement);
      	result = result1 - result2;
		applyThreshold(result);
		return result;
   	}
   	
};
 

int main( int, char** argv )  
{  
	Mat image;
    image = imread( argv[1] );
    cvtColor( image, image, CV_RGB2GRAY );
    
	MorphoFeatures morpho;
	morpho.setThreshold(40); 
	Mat edges;
	edges= morpho.getEdges(image);

    namedWindow("dstImage", 1);  
    imshow("dstImage", edges);  
    waitKey();  
    return 0;  
} 

OpenCV2马拉松第16圈——边缘检测(形态学梯度),布布扣,bubuko.com

OpenCV2马拉松第16圈——边缘检测(形态学梯度)

原文：http://blog.csdn.net/abcd1992719g/article/details/25599131