• 使用OpenCV函數 findContours
• 使用OpenCV函數 drawContours

濾波——消除噪聲

增強——使邊界輪廓更加明顯

檢測——選出邊緣點

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( argv[1], 1 );/// 轉成灰度并模糊化降噪cvtColor( src, src_gray, CV_BGR2GRAY );blur( src_gray, src_gray, Size(3,3) );/// 創建窗體char* source_window = "Source";namedWindow( source_window, CV_WINDOW_AUTOSIZE );imshow( source_window, src );createTrackbar( " Canny thresh:", "Source", &thresh, max_thresh, thresh_callback );thresh_callback( 0, 0 );waitKey(0);return(0); }/** @function thresh_callback */ void thresh_callback(int, void* ) {Mat canny_output;vector<vector<Point> > contours;vector<Vec4i> hierarchy;/// 用Canny算子檢測邊緣Canny( src_gray, canny_output, thresh, thresh*2, 3 );/// 尋找輪廓findContours( canny_output, contours, hierarchy, CV_RETR_TREE, CV_CHAIN_APPROX_SIMPLE, Point(0, 0) );/// 繪出輪廓Mat drawing = Mat::zeros( canny_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, 2, 8, hierarchy, 0, Point() );}/// 在窗體中顯示結果namedWindow( "Contours", CV_WINDOW_AUTOSIZE );imshow( "Contours", drawing ); }

結果

這個場景有點復雜，也檢測出了很多輪廓

手掌

手繪

總結

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