#include "opencv2/highgui/highgui.hpp"
#include "opencv2/imgproc/imgproc.hpp"
#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);

//函数声明
void thresh_callback(int, void* );


int main( int argc, char** argv )
{
  //加载彩色图像
  src = imread( argv[1], 1 );

  //转换为灰度图并模糊处理
  cvtColor( src, src_gray, CV_BGR2GRAY );
  blur( src_gray, src_gray, Size(3,3) );

  //创建窗口
  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);
}


void thresh_callback(int, void* )
{
  Mat src_copy = src.clone();
  Mat threshold_output;
  vector<vector<Point> > contours;
  vector<Vec4i> hierarchy;

  //阈值检测边界
  threshold( src_gray, threshold_output, thresh, 255, THRESH_BINARY );

  //查找轮廓
  findContours( threshold_output, contours, hierarchy, CV_RETR_TREE, CV_CHAIN_APPROX_SIMPLE, Point(0, 0) );

  //查找每一个轮廓的凸壳
 vector<vector<Point> >hull( contours.size() );
  for( int i = 0; i < contours.size(); i++ )
     {   convexHull( Mat(contours[i]), hull[i], false ); }

  //画图
  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() );
     }

  //显示
  namedWindow( "Hull demo", CV_WINDOW_AUTOSIZE );
  imshow( "Hull demo", drawing );

}


opencv-图像凸壳_openCV


opencv-图像凸壳_scala_02


opencv-图像凸壳_#include_03