标签:style io ar color os sp for strong on
同样是提取出轮廓之后的处理 ~~
void approxPolyDP(InputArray curve, OutputArray approxCurve, double epsilon, bool closed)
Parameters:
- curve –
Input vector of a 2D point stored in:
- std::vector or Mat (C++ interface)
- Nx2 numpy array (Python interface)
- CvSeq or CvMat (C interface)
- approxCurve – Result of the approximation. The type should match the type of the input curve. In case of C interface the approximated curve is stored in the memory storage and pointer to it is returned.
- epsilon – Parameter specifying the approximation accuracy. This is the maximum distance between the original curve and its approximation.
- closed – If true, the approximated curve is closed (its first and last vertices are connected). Otherwise, it is not closed.
- header_size – Header size of the approximated curve. Normally, sizeof(CvContour) is used.
- storage – Memory storage where the approximated curve is stored.
- method – Contour approximation algorithm. Only CV_POLY_APPROX_DP is supported.
- recursive – Recursion flag. If it is non-zero and curve is CvSeq*, the function cvApproxPolyapproximates all the contours accessible from curve by h_next and v_next links.
Rect boundingRect(InputArray points)
Calculates the up-right bounding rectangle of a point set.
void minEnclosingCircle(InputArray points, Point2f& center, float& radius)
Parameters:
- points –
Input vector of 2D points, stored in:
- std::vector<> or Mat (C++ interface)
- CvSeq* or CvMat* (C interface)
- Nx2 numpy array (Python interface)
- center – Output center of the circle.
- radius – Output radius of the circle.
Code
#include "stdafx.h" #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( int argc, char** argv ) { /// Load source image and convert it to gray src = imread( "img2.jpg", 1 ); /// Convert image to gray and blur it cvtColor( src, src_gray, CV_BGR2GRAY ); blur( src_gray, src_gray, Size(3,3) ); // 均值滤波 —— 去除小的噪声 /// Create Window 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); } /** @function thresh_callback */ void thresh_callback(int, void* ) { Mat threshold_output; vector<vector<Point> > contours; vector<Vec4i> hierarchy; /// Detect edges using Threshold threshold( src_gray, threshold_output, thresh, 255, THRESH_BINARY ); /// Find contours findContours( threshold_output, contours, hierarchy, CV_RETR_TREE, CV_CHAIN_APPROX_SIMPLE, Point(0, 0) ); /// Approximate contours to polygons + get bounding rects and circles vector<vector<Point> > contours_poly( contours.size() ); vector<Rect> boundRect( contours.size() ); vector<Point2f>center( contours.size() ); vector<float>radius( contours.size() ); for( int i = 0; i < contours.size(); i++ ) { approxPolyDP( Mat(contours[i]), contours_poly[i], 3, true ); // 原始曲线和近似曲线的精度为3, 近似曲线封闭 boundRect[i] = boundingRect( Mat(contours_poly[i]) ); minEnclosingCircle( (Mat)contours_poly[i], center[i], radius[i] ); } /// Draw polygonal contour + bonding rects + circles 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_poly, i, color, 1, 8, vector<Vec4i>(), 0, Point() ); rectangle( drawing, boundRect[i].tl(), boundRect[i].br(), color, 2, 8, 0 ); circle( drawing, center[i], (int)radius[i], color, 2, 8, 0 ); } /// Show in a window namedWindow( "Contours", CV_WINDOW_AUTOSIZE ); imshow( "Contours", drawing ); }
OpenCV Tutorials —— Creating Bounding boxes and circles for contours
标签:style io ar color os sp for strong on
原文地址:http://www.cnblogs.com/sprint1989/p/4117412.html