1 #include<opencv2/opencv.hpp>
 2 using namespace cv;
 3 
 4 void main(){
 5     Mat src=http://www.mamicode.com/imread("E://1.jpg",0);//以灰度模式读入    
 6     Mat dst;
 7     //threshold(src,dst,100,255,CV_THRESH_BINARY);
 8     //adaptiveThreshold(src,dst,255,CV_ADAPTIVE_THRESH_MEAN_C,CV_THRESH_BINARY,11,5);
 9     adaptiveThreshold(src,dst,255,CV_ADAPTIVE_THRESH_GAUSSIAN_C,CV_THRESH_BINARY,11,5);
10     imshow("src",src);
11     imshow("dst",dst);
12     waitKey(0);
13 }

 1 #include<opencv2/opencv.hpp>
 2 using namespace cv;
 3 
 4 Mat src,dst,dst2;
 5 int thres_value=http://www.mamicode.com/21,block_size=5,c=5;
 6 
 7 void onThreshold(int ,void*){
 8     threshold(src,dst,thres_value,255,CV_THRESH_BINARY);
 9     imshow("固定阈值",dst);
10 }
11 void onAdaptiveThreshold(int ,void *){
12     if(block_size%2==0)    block_size++;//如果block_size是偶数
13     adaptiveThreshold(src,dst2,255,CV_ADAPTIVE_THRESH_GAUSSIAN_C,CV_THRESH_BINARY,block_size,c);
14     imshow("自适应阈值",dst2);
15 }
16 
17 void main(){
18     src=http://www.mamicode.com/imread("E://1.jpg",0);//以灰度模式读入    
19     namedWindow("固定阈值",CV_WINDOW_AUTOSIZE);
20     namedWindow("自适应阈值",CV_WINDOW_AUTOSIZE);
21     createTrackbar("Threshold", "固定阈值",&thres_value,255,onThreshold,0);
22     createTrackbar("Block_size", "自适应阈值",&block_size,255,onAdaptiveThreshold,0);
23     createTrackbar("C", "自适应阈值",&c,255,onAdaptiveThreshold,0);
24 
25     onThreshold(thres_value,0); //回调函数初始化
26     onAdaptiveThreshold(block_size,0);
27     onAdaptiveThreshold(c,0);
28 
29     imshow("src",src);
30     waitKey(0);
31 }