• 使用OpenCV函數?convexHull

步驟

濾波——消除噪聲

增強——二值化，使輪廓更明顯

檢測——選出邊緣點

計算凸包

例程

#include "opencv2/highgui/highgui.hpp" #include "opencv2/imgproc/imgproc.hpp" #include <opencv2/highgui/highgui_c.h> #include <iostream> #include <stdio.h> #include <stdlib.h>using namespace cv; using namespace std;Mat src; Mat src_gray; int thresh = 100; int max_thresh = 255; RNG rng(12345);/// Function header void thresh_callback(int, void*);/** @function main */ int main(int argc, char** argv) {/// 加載源圖像src = imread("../images/hands2.jpg");/// 轉成灰度圖并進行模糊降噪cvtColor(src, src_gray, CV_BGR2GRAY);blur(src_gray, src_gray, Size(3, 3));/// 創建窗體const char* source_window = "Source";namedWindow(source_window, CV_WINDOW_AUTOSIZE);imshow(source_window, src);createTrackbar(" Threshold:", "Source", &thresh, max_thresh, thresh_callback);thresh_callback(0, 0);waitKey(0);return(0); }/** @function thresh_callback */ void thresh_callback(int, void*) {Mat src_copy = src.clone();Mat threshold_output;vector<vector<Point> > contours;vector<Vec4i> hierarchy;/// 對圖像進行二值化threshold(src_gray, threshold_output, thresh, 255, THRESH_BINARY);/// 尋找輪廓findContours(threshold_output, contours, hierarchy, CV_RETR_TREE, CV_CHAIN_APPROX_SIMPLE, Point(0, 0));/// 對每個輪廓計算其凸包vector<vector<Point> >hull(contours.size());for (int i = 0; i < contours.size(); i++){convexHull(Mat(contours[i]), hull[i], false);}/// 繪出輪廓及其凸包Mat drawing = Mat::zeros(threshold_output.size(), CV_8UC3);for (int i = 0; i < contours.size(); i++){Scalar color = Scalar(rng.uniform(0, 255), rng.uniform(0, 255), rng.uniform(0, 255));drawContours(drawing, contours, i, color, 1, 8, vector<Vec4i>(), 0, Point());drawContours(drawing, hull, i, color, 1, 8, vector<Vec4i>(), 0, Point());}/// 把結果顯示在窗體namedWindow("Hull demo", CV_WINDOW_AUTOSIZE);imshow("Hull demo", drawing); }

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