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#include <iostream>
#include <opencv2/opencv.hpp>
#include <opencv2/core/core.hpp>
#include <opencv2/imgproc/imgproc.hpp>
#include <opencv2/highgui/highgui.hpp>
using namespace std;
using namespace cv;
//全局函数声明
Mat img;
int threshval = 160; //轨迹条滑块对应的值，给初值160
//
//描述：轨迹条的回调函数
//
static void on_trackbar(int, void*)
{
Mat bw = threshval < 128 ? (img < threshval):(img > threshval);
//定义点和向量
vector<vector<Point>> contours;
vector<Vec4i> hierarchy;
//查找轮廓
findContours(bw, contours, hierarchy, CV_RETR_CCOMP, CV_CHAIN_APPROX_SIMPLE);
//初始化dst
Mat dst = Mat::zeros(img.size(), CV_8UC3);
//开始处理
if(!contours.empty() && !hierarchy.empty())
{
//遍历所有顶层轮廓，随机生成颜色值绘制个连接组成部分
int idx = 0;
for( ; idx >= 0; idx = hierarchy[idx][0])
{
Scalar color((rand()&255), (rand()&255), (rand()&255));
//绘制填充轮廓
drawContours(dst, contours, idx, color, CV_FILLED, 8, hierarchy);
}
}
//显示窗口
imshow("Connected Components", dst);
}
int main()
{
img = imread("img.jpg");
if(!img.data)
{
printf("Oh, no, img失败了 \n");
return -1;
}
//显示原图
namedWindow("Image", 1);
imshow("Image", img);
//创建处理窗口
namedWindow("Connected Components", 1);
//创建轨迹条
createTrackbar("Threshold", "Connected Components", &threshval, 255, on_trackbar);
on_trackbar(threshval, 0); //轨迹条回调函数
waitKey(0);
return 0;
}
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