From 《OpenCV By Example》

#include <iostream>

using namespace std;

#include "opencv2/core.hpp"
#include "opencv2/highgui.hpp"
#include "opencv2/imgproc.hpp"

using namespace cv;

int main()
{
	Mat img = imread("1.jpg");
	float radius = img.cols > img.rows ? (img.rows / 3) : (img.cols / 3);


	const double exponential_e = exp(1.0);
	/** EDgES **/
	// Apply median filter to remove possible noise
	Mat imgMedian;
	medianBlur(img, imgMedian, 7);
	// Detect edges with canny
	Mat imgCanny;
	Canny(imgMedian, imgCanny, 50, 150);
	// Dilate the edges
	Mat kernel = getStructuringElement(MORPH_RECT, Size(2, 2));
	dilate(imgCanny, imgCanny, kernel);

	// Scale edges values to 1 and invert values
	imgCanny = imgCanny / 255;
	imgCanny = 1 - imgCanny;
	// Use float values to allow multiply between 0 and 1
	Mat imgCannyf;
	imgCanny.convertTo(imgCannyf, CV_32FC3);
	// Blur the edgest to do smooth effect
	blur(imgCannyf, imgCannyf, Size(5, 5));

	/** COLOR **/
	// Apply bilateral filter to homogenizes color
	Mat imgBF;
	bilateralFilter(img, imgBF, 9, 150.0, 150.0);
	// truncate colors
	Mat result = imgBF / 25;
	result = result * 25;
	/** MERgES COLOR + EDgES **/
	// Create a 3 channles for edges
	Mat imgCanny3c;
	Mat cannyChannels[] = { imgCannyf, imgCannyf, imgCannyf };
	merge(cannyChannels, 3, imgCanny3c);
	// Convert color result to float
	Mat resultf;
	result.convertTo(resultf, CV_32FC3);
	// Multiply color and edges matrices
//	cout << imgCanny3c << endl;
	multiply(resultf, imgCanny3c, resultf);
//	cout << resultf << endl;
	// convert to 8 bits color
	resultf.convertTo(result, CV_8UC3);
	// Show image
	imshow("Result", result);

	waitKey(0);

    return 0;
}
 

效果圖為：