图像处理——（源）自适应阈值分割（adaptiveThreshold）函数编程实现


 1 #include <iostream>
 2 #include <opencv2/core.hpp>
 3 #include <opencv2/highgui.hpp>
 4 #include <opencv2/imgproc.hpp>
 5  
 6 enum adaptiveMethod{meanFilter,gaaussianFilter,medianFilter};
 7  
 8 void AdaptiveThreshold(cv::Mat& src, cv::Mat& dst, double Maxval, int Subsize, double c, adaptiveMethod method = meanFilter){
 9  
10     if (src.channels() > 1)
11         cv::cvtColor(src, src, CV_RGB2GRAY);
12  
13     cv::Mat smooth;    
14     cv::blur(src, smooth, cv::Size(Subsize, Subsize));  //均值滤波        
15     smooth = smooth - c;    
16     //阈值处理
17     src.copyTo(dst);
18     for (int r = 0; r < src.rows;++r){
19         const uchar* srcptr = src.ptr<uchar>(r);
20         const uchar* smoothptr = smooth.ptr<uchar>(r);
21         uchar* dstptr = dst.ptr<uchar>(r);
22         for (int c = 0; c < src.cols; ++c){
23             if (srcptr[c]>smoothptr[c]){
24                 dstptr[c] = Maxval;
25             }
26             else
27                 dstptr[c] = 0;
28         }
29     }
30  
31 }
32  
33 int main(){
34     cv::Mat src = cv::imread("E://lena.jpg");
35     if (src.empty()){
36         return -1;
37     }
38     if (src.channels() > 1)
39         cv::cvtColor(src, src, CV_RGB2GRAY);
40  
41     cv::Mat dst, dst2;
42     double t2 = (double)cv::getTickCount();
43     AdaptiveThreshold(src, dst, 255, 21, 10, meanFilter);  //
44     t2 = (double)cv::getTickCount() - t2;
45     double time2 = (t2 *1000.) / ((double)cv::getTickFrequency());
46     std::cout << "my_process=" << time2 << " ms. " << std::endl << std::endl;
47  
48  
49     cv::adaptiveThreshold(src, dst2, 255, cv::ADAPTIVE_THRESH_MEAN_C, cv::THRESH_BINARY, 21, 10);
50  
51  
52     cv::namedWindow("src", CV_WINDOW_NORMAL);
53     cv::imshow("src", src);
54     cv::namedWindow("dst", CV_WINDOW_NORMAL);
55     cv::imshow("dst", dst);
56     cv::namedWindow("dst2", CV_WINDOW_NORMAL);
57     cv::imshow("dst2", dst2);
58    
59     cv::waitKey(0);
60 }