opencv_閾值分割

#include<opencv2\opencv.hpp>
#include<highgui.h>
#include<math.h>
#include<iostream>
using namespace std;
using namespace cv;
Mat src, dst,gray_src;
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)
{
	// read image
	src = imread("C:/Users/qxq/Pictures/image/fox.jpg");
	if (src.empty())
	{
		printf("Could not load image...");
		return -1;
	}
	char INPUT_WIN[] = "input image";
	namedWindow(INPUT_WIN, CV_WINDOW_AUTOSIZE);
	namedWindow(output_title, CV_WINDOW_AUTOSIZE);
	imshow(INPUT_WIN, src);
	
	//創建一個滾動條
	createTrackbar("T_val", output_title, &threshold_value, threshold_max, Threshold_Demo);
	createTrackbar("Type val", output_title, &threshold_value, Type_max, Threshold_Demo);

	Threshold_Demo(0,0);

	waitKey(0);
	return 0;
}

void Threshold_Demo(int, void*)
{
	cvtColor(src, gray_src, CV_BGR2GRAY);//只能用8位灰度圖像
	//二值化
	//threshold(gray_src, dst, threshold_value, threshold_max, THRESH_BINARY);
	//用滾動條調整，THRESH_BINARY對應的值爲0，一共有5種（0~4）.
	//threshold(gray_src, dst, threshold_value, threshold_max, type_value);
	//使用OSTU自動尋找合適的閾值，有2種方法（THRESH_OTSU和THRESH_TRIANGLE）
	threshold(gray_src, dst, 0, 255, THRESH_OTSU | type_value);

	imshow(output_title, dst);
}