阈值二值化

五种类型阈值二值化

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 代码：

 

#include <opencv2/opencv.hpp>
#include <iostream>
#include <math.h>

using namespace cv;
Mat src, gray_src, dst;
int threshold_value = 127;
int threshold_max = 255;
int type_value = 2;
int type_max = 4;
const char* output_title = "binary image";
void Threshold_Demo(int, void*);
int main(int argc, char** argv) {
    src = imread("L:/4.jpg");
    if (!src.data) {
        printf("could not load image...\n");
        return -1;
    }
    namedWindow("input image", CV_WINDOW_AUTOSIZE);
    namedWindow(output_title, CV_WINDOW_AUTOSIZE);
    imshow("input image", src);

    createTrackbar("Threshold Value:", output_title, &threshold_value, threshold_max, Threshold_Demo);
    createTrackbar("Type Value:", output_title, &type_value, type_max, Threshold_Demo);
    //参数：1.滑动空间名称  2.滑动依附的图像窗口名称 3.初始化阈值  4.滑动控件的刻度刻度范围  5.回调函数hreshold_Demo
    Threshold_Demo(0, 0);

    waitKey(0);
    return 0;
}

void Threshold_Demo(int, void*) {
    cvtColor(src, gray_src, CV_BGR2GRAY);
    threshold(gray_src, dst, threshold_value, threshold_max, type_value);  //五种方法通过type_value选择显示
    //threshold(gray_src, dst, threshold_value, threshold_max, THRESH_BINARY);   THRESH_中的第一种方法
    imshow(output_title, dst);
}

 

原图：

 

 结果：