2020.11.04 使用OpenCV进行图像阈值分割操作【OpenCV C++】

使用函数threshold（）进行图像分割

源代码：

// testOpencv13.cpp : 此文件包含 "main" 函数。程序执行将在此处开始并结束。
//
#include <opencv2/opencv.hpp>
#include <iostream>

using namespace cv;

Mat src,graySrc,dst;
const char* inWin = "input window";
const char* outWin = "output window";
int threshold_value = 127;
int threshold_max = 255;
int type_value = 2;
int type_max = 4;
void ThresholdDemo(int,void*);

int main()
{
//std::cout << "Hello World!\n";

src = imread("E:/imageSources/3.jpg");
if (!src.data)
{
printf("cannot load image!");
return -1;
}

namedWindow(inWin,WINDOW_AUTOSIZE);
imshow(inWin,src);
namedWindow(outWin,WINDOW_AUTOSIZE);
//添加调整thresholdValue值得滑动条
createTrackbar("ThresholdValue",outWin,&threshold_value, threshold_max,ThresholdDemo);
ThresholdDemo(0,0);
//添加调节不同阈值处理类型的滑动条
createTrackbar("ThresholdType",outWin,&type_value,type_max, ThresholdDemo);
waitKey(0);
return 0;
}

void ThresholdDemo(int, void*) {
//转换为灰度值
cvtColor(src,graySrc,COLOR_RGB2GRAY);
//二值化阈值
//threshold(graySrc,dst, threshold_value, threshold_max,THRESH_BINARY);
//调节4种不同阈值处理方法，再调节阈值处理
threshold(graySrc, dst, threshold_value, threshold_max, type_value);
//自动计算阈值
//threshold(graySrc, dst, 0,255, THRESH_OTSU| type_value);
//三角根据直方图计算阈值
//threshold(graySrc, dst, 0, 255,THRESH_TRIANGLE| type_value);

imshow(outWin,dst);
}