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; }
重新写了一下这个代码,还是稍微有点小问题,希望大家共同探讨:
http://blog.csdn.net/wangyaninglm/article/details/43959947