一、图像阈值化简介

二、固定阈值

三、自适应阈值

【示例】

1 1 //图像的阈值化
2 2 #include<opencv2/opencv.hpp>
3 3 using namespace cv;
4 4 
5 5 int main(){
6 6     Mat src=imread("1.jpg",0);//以灰度模式读入
7 7     Mat dst;
8 8     //threshold(src,dst,100,255,CV_THRESH_BINARY);
9 9     //adaptiveThreshold(src,dst,255,CV_ADAPTIVE_THRESH_MEAN_C,CV_THRESH_BINARY,11,5);
1010     adaptiveThreshold(src,dst,255,CV_ADAPTIVE_THRESH_GAUSSIAN_C,CV_THRESH_BINARY,11,5);
1111     imshow("src",src);
1212     imshow("dst",dst);
1313     waitKey(0);
1414     return 0;
1515 }

四、滚动条调整参数

【示例】

1 1 //添加滚动条调整参数
2 2 #include<opencv2/opencv.hpp>
3 3 using namespace cv;
4 4 
5 5 Mat src,dst,dst2;
6 6 int thres_value=21,block_size=5,c=5;
7 7 
8 8 void onThreshold(int ,void*){
9 9     threshold(src,dst,thres_value,255,CV_THRESH_BINARY);
1010     imshow("固定阈值",dst);
1111 }
1212 void onAdaptiveThreshold(int ,void *){
1313     if(block_size%2==0)    block_size++;//如果block_size是偶数
1414     adaptiveThreshold(src,dst2,255,CV_ADAPTIVE_THRESH_GAUSSIAN_C,CV_THRESH_BINARY,block_size,c);
1515     imshow("自适应阈值",dst2);
1616 }
1717 
1818 int main(){
1919     src=imread("1.jpg",0);//以灰度模式读入
2020     namedWindow("固定阈值",CV_WINDOW_AUTOSIZE);
2121     namedWindow("自适应阈值",CV_WINDOW_AUTOSIZE);
2222     createTrackbar("Threshold", "固定阈值",&thres_value,255,onThreshold,0);
2323     createTrackbar("Block_size", "自适应阈值",&block_size,255,onAdaptiveThreshold,0);
2424     createTrackbar("C", "自适应阈值",&c,255,onAdaptiveThreshold,0);
2525 
2626     onThreshold(thres_value,0); //回调函数初始化
2727     onAdaptiveThreshold(block_size,0);
2828     onAdaptiveThreshold(c,0);
2929 
3030     imshow("src",src);
3131     waitKey(0);
3232     return 0;
3333 }