OpenCV实现图像转换为漫画效果

本文实例为大家分享了OpenCV实现图像转换为漫画的具体代码，供大家参考，具体内容如下

From 《OpenCV By Example》

1、先canny提取图像的边缘并强化，翻转边缘为黑色，将像素值转换为0-1的值
2、将图像进行双边滤波处理，然后将像素值缩短为每10个灰度级为一个值
3、将前两步得到的结果相乘，显示结果

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									#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;

									}