5种方法实现openCV图像二值化数据处理C++源码精简版可视化调节输出

原始图像:

精简版源码：

#include "opencv2/imgproc/imgproc.hpp"
#include "opencv2/highgui/highgui.hpp"
#include 
#include 
#include
using namespace cv;
int main()
{
	Mat img0,img, img1, img2, img3, img4, img5;
	int yuzhi = 122;//设置图像阈值
	img0 = imread("D://xlxl//32.jpg");
	int width01 = 500, higth01 = 300;//设置输出图像大小，移动方位
	cvtColor(img0, img, COLOR_RGB2GRAY);//转为灰度图

	threshold(img, img1, yuzhi, 255, THRESH_BINARY);
	threshold(img, img2, yuzhi, 255, THRESH_BINARY_INV);
	threshold(img, img3, yuzhi, 255, THRESH_TRUNC);
	threshold(img, img4, yuzhi, 255, THRESH_TOZERO);
	threshold(img, img5, yuzhi, 255, THRESH_TOZERO_INV);


	namedWindow("二值图像01", WINDOW_NORMAL);
	resizeWindow("二值图像01", width01, higth01);
	moveWindow("二值图像01", width01, higth01);
	imshow("二值图像01", img1);
	
	namedWindow("二值图像02", WINDOW_NORMAL);
	resizeWindow("二值图像02", width01, higth01);
	moveWindow("二值图像02", width01, higth01);
	imshow("二值图像02", img2);
	
	namedWindow("二值图像03", WINDOW_NORMAL);
	resizeWindow("二值图像03", width01, higth01);
	moveWindow("二值图像03", width01, higth01);
	imshow("二值图像03", img3);
	
	namedWindow("二值图像04", WINDOW_NORMAL);
	resizeWindow("二值图像04", width01, higth01);
	moveWindow("二值图像04", width01, higth01);
	imshow("二值图像04", img4);
	
	namedWindow("二值图像05", WINDOW_NORMAL);
	resizeWindow("二值图像05", width01, higth01);
	moveWindow("二值图像05", width01, higth01);
	imshow("二值图像05", img5);		
	waitKey(0);		  
	system("pause");
}

随意调整好的效果如图：