基于opencv源程序的滑动条实现阈值变换

来源：互联网发布：浴霸哪个牌子好知乎编辑：程序博客网时间：2024/06/08 10:48

#include"stdafx.h"#include <opencv2/core/utility.hpp>#include "opencv2/imgproc.hpp"#include "opencv2/imgcodecs.hpp"#include "opencv2/highgui.hpp"#include <iostream>using namespace cv;using namespace std;// 设定阈值初值Mat img;int threshval = 100;static void on_trackbar(int, void*){Mat bw = threshval < 128 ? (img < threshval) : (img > threshval);Mat labelImage(img.size(), CV_32S);int nLabels = connectedComponents(bw, labelImage, 8);std::vector<Vec3b> colors(nLabels);colors[0] = Vec3b(0, 0, 0);//backgroundfor (int label = 1; label < nLabels; ++label) {colors[label] = Vec3b((rand() & 255), (rand() & 255), (rand() & 255));}Mat dst(img.size(), CV_8UC3);for (int r = 0; r < dst.rows; ++r) {for (int c = 0; c < dst.cols; ++c) {int label = labelImage.at<int>(r, c);Vec3b &pixel = dst.at<Vec3b>(r, c);pixel = colors[label];}}imshow("Connected Components", dst);}int main(){//读取原图片img = imread("E:\\pictures\\For_Project\\New_opencv\\Sceen\\4rt.jpg", 0);//判断是否为空if (img.empty()){cout << "Could not read input image file: " << endl;return -1;}//显示namedWindow("Image", 1);imshow("Image", img);namedWindow("Connected Components", 1);//创建滑动窗口createTrackbar("Threshold", "Connected Components", &threshval, 255, on_trackbar);on_trackbar(threshval, 0);waitKey(0);return 0;}

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