#include<iostream>
#include<opencv2/opencv.hpp>
using namespace std;
using namespace cv;
int g_nCurrC = 0, g_nMode = 0, g_nMath = 0, g_nSize = 1;
int main()
{
Mat srcImage = imread("牛吃草.jpg");
imshow("【原图】", srcImage);
Mat grayImage;
cvtColor(srcImage, grayImage, CV_BGR2GRAY);
Mat dstImage;
dstImage.create(grayImage.size(), grayImage.type());
namedWindow("【阀值化】");
createTrackbar("Mode", "【阀值化】", &g_nMode, 1, 0);
createTrackbar("C", "【阀值化】", &g_nCurrC, 100, 0);
createTrackbar("Math", "【阀值化】", &g_nMath, 1, 0);
createTrackbar("Size", "【阀值化】", &g_nSize, 100, 0);
char key;
while (1)
{
adaptiveThreshold(grayImage, dstImage, 255, g_nMath, g_nMode, 2 * g_nSize + 1, g_nCurrC);
imshow("【阀值化后的图】", dstImage);
key = waitKey(10);
if (key == 27)
break;
}
return 0;
}
Opencv自适应阀值操作-adaptiveThreshold函数
最新推荐文章于 2025-05-29 08:32:39 发布