OpenCV 求外接矩形以及旋转角度

OpenCV 求外接矩形以及旋转角度

OpenCV 求外接矩形以及旋转角度

 

程序没有写完整,大概功能就是实现了,希望大家分享学习,把他改对

// FindRotation-angle.cpp : 定义控制台应用程序的入口点。
//

// findContours.cpp : 定义控制台应用程序的入口点。
//

#include "stdafx.h"

 

#include <iostream>
#include <vector>
#include <opencv2/opencv.hpp>
#include <opencv2/core/core.hpp>
#include <opencv2/imgproc/imgproc.hpp>
#include <opencv2/highgui/highgui.hpp>


#pragma comment(lib,"opencv_core2410d.lib")     
#pragma comment(lib,"opencv_highgui2410d.lib")     
#pragma comment(lib,"opencv_imgproc2410d.lib")

#define PI 3.1415926

int main()
{
 // Read input binary image

 char *image_name = "test2.jpg";
 cv::Mat image = cv::imread(image_name,0);
 if (!image.data)
  return 0;

 cv::namedWindow("Binary Image");
 cv::imshow("Binary Image",image);


 
 // 从文件中加载原图 
    IplImage *pSrcImage = cvLoadImage(image_name, CV_LOAD_IMAGE_UNCHANGED); 
 
    // 转为2值图
 
  cvThreshold(pSrcImage,pSrcImage,200,255,cv::THRESH_BINARY_INV);
   
 
    image = cv::Mat(pSrcImage,true);

    cv::imwrite("binary.jpg",image);

 // Get the contours of the connected components
 std::vector<std::vector<cv::Point>> contours;
 cv::findContours(image,
  contours, // a vector of contours
  CV_RETR_EXTERNAL, // retrieve the external contours
  CV_CHAIN_APPROX_NONE); // retrieve all pixels of each contours

 // Print contours' length
 std::cout << "Contours: " << contours.size() << std::endl;
 std::vector<std::vector<cv::Point>>::const_iterator itContours= contours.begin();
 for ( ; itContours!=contours.end(); ++itContours)
 {

  std::cout << "Size: " << itContours->size() << std::endl;
 }

 // draw black contours on white image
 cv::Mat result(image.size(),CV_8U,cv::Scalar(255));
 cv::drawContours(result,contours,
  -1, // draw all contours
  cv::Scalar(0), // in black
  2); // with a thickness of 2

 cv::namedWindow("Contours");
 cv::imshow("Contours",result);

 

 


 // Eliminate too short or too long contours
 int cmin= 100;  // minimum contour length
 int cmax= 1000; // maximum contour length
 std::vector<std::vector<cv::Point>>::const_iterator itc= contours.begin();
 while (itc!=contours.end()) {

  if (itc->size() < cmin || itc->size() > cmax)
   itc= contours.erase(itc);
  else
   ++itc;
 }

 // draw contours on the original image
 cv::Mat original= cv::imread(image_name);
 cv::drawContours(original,contours,
  -1, // draw all contours
  cv::Scalar(255,255,0), // in white
  2); // with a thickness of 2

 cv::namedWindow("Contours on original");
 cv::imshow("Contours on original",original);

 

 // Let's now draw black contours on white image
 result.setTo(cv::Scalar(255));
 cv::drawContours(result,contours,
  -1, // draw all contours
  cv::Scalar(0), // in black
  1); // with a thickness of 1
 image= cv::imread("binary.jpg",0);

 // testing the bounding box
 


 

 std::vector<std::vector<cv::Point>>::const_iterator itc_rec= contours.begin();
 while (itc_rec!=contours.end())
 {
  cv::Rect r0= cv::boundingRect(cv::Mat(*(itc_rec)));
  cv::rectangle(result,r0,cv::Scalar(0),2);
   ++itc_rec;
 }

 

 cv::namedWindow("Some Shape descriptors");
 cv::imshow("Some Shape descriptors",result);


 CvBox2D    End_Rage2D;

 CvMemStorage *storage = cvCreateMemStorage(0);  //开辟内存空间


 CvSeq*      contour = NULL;    //CvSeq类型 存放检测到的图像轮廓边缘所有的像素值,坐标值特征的结构体以链表形式

 cvFindContours( pSrcImage, storage, &contour, sizeof(CvContour),CV_RETR_CCOMP, CV_CHAIN_APPROX_NONE);//这函数可选参数还有不少

 

 for(; contour; contour = contour->h_next)  //如果contour不为空,表示找到一个以上轮廓,这样写法只显示一个轮廓
  //如改为for(; contour; contour = contour->h_next) 就可以同时显示多个轮廓
 { 

  End_Rage2D = cvMinAreaRect2(contour);    //代入cvMinAreaRect2这个函数得到最小包围矩形  这里已得出被测物体的角度,宽度,高度,和中点坐标点存放在CvBox2D类型的结构体中,主要工作基本结束。
 
 std::cout <<" angle:\n"<<(float)End_Rage2D.angle << std::endl;      //被测物体旋转角度
 
 }
 cv::waitKey();
 return 0;


}

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OpenCV的详细介绍:请点这里
OpenCV的下载地址:请点这里

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