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:




