(40)Air Band OpenCV2.4.13_凸包-优快云博客

本文介绍使用OpenCV2.4.13进行图像边缘检测的方法，包括图像读取、灰度转换、模糊处理及阈值检测等步骤，并通过调整阈值来改变边缘检测的效果。

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本文是对OpenCV2.4.13文档的部分翻译，作个人学习之用，并不完整。

#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);

/// Function header
void thresh_callback(int, void* );

/**
 * @function main
 */
int main()
{
  /// 载入原图像
  src = imread("hand_sample2.jpg", 1 );

  /// 将其转换为灰度图并模糊处理
  cvtColor( src, src_gray, COLOR_BGR2GRAY );
  blur( src_gray, src_gray, Size(3,3) );

  /// 创建窗口，显示原图像
  const char* source_window = "Source";
  namedWindow( source_window, WINDOW_AUTOSIZE );
  imshow( source_window, src );

  //创建滑动块，选择阈值
  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;

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

  /// 找到轮廓
  findContours( threshold_output, contours, hierarchy, CV_RETR_TREE, CV_CHAIN_APPROX_SIMPLE, Point(0, 0) );

  /// 为轮廓找到凸包对象
  vector<vector<Point> >hull( contours.size() );
  for( size_t i = 0; i < contours.size(); i++ )
     {   convexHull( Mat(contours[i]), hull[i], false ); }

  /// 画出轮廓和凸包对象
  Mat drawing = Mat::zeros( threshold_output.size(), CV_8UC3 );
  for( size_t i = 0; i< contours.size(); i++ )
     {
       Scalar color = Scalar( rng.uniform(0, 255), rng.uniform(0,255), rng.uniform(0,255) );
       drawContours( drawing, contours, (int)i, color, 1, 8, vector<Vec4i>(), 0, Point() );
       drawContours( drawing, hull, (int)i, color, 1, 8, vector<Vec4i>(), 0, Point() );
     }

  /// 显示画图结果
  namedWindow( "Hull demo", WINDOW_AUTOSIZE );
  imshow( "Hull demo", drawing );
}

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