imgproc模塊--可傾斜邊界

1.目的
(1)使用openCV函數minAreaRect獲取矩形邊界
(2)使用openCV函數fitEllipse獲取橢圓邊界

2.完整代碼
(1)CommonInclude.h

#ifndef COMMON_INCLUDE
#define COMMON_INCLUDE
#include<iostream>
#include<opencv2/core/core.hpp>
#include<opencv2/highgui/highgui.hpp>
#include<opencv2/imgproc/imgproc.hpp>
using namespace std;
using namespace cv;
#endif

(2)Bounding.cpp

#include"CommonInclude.h"

Mat src; Mat src_gray;
int thresh = 100;
int max_thresh = 255;
RNG rng(12345);

/** @function thresh_callback */
void thresh_callback(int, void* )
{
    Mat threshold_output;
    vector<vector<Point> > contours;
    vector<Vec4i> hierarchy;

    /// 閾值化檢測邊界
    threshold( src_gray, threshold_output, thresh, 255, THRESH_BINARY );
    /// 尋找輪廓
    findContours( threshold_output, contours, hierarchy, CV_RETR_TREE, CV_CHAIN_APPROX_SIMPLE, Point(0, 0) );

    /// 對每個找到的輪廓創建可傾斜的邊界框和橢圓
    vector<RotatedRect> minRect( contours.size() );
    vector<RotatedRect> minEllipse( contours.size() );

    for( int i = 0; i < contours.size(); i++ )
    { 
        //返回輪廓的矩形邊界框
        minRect[i] = minAreaRect( Mat(contours[i]) );
        if( contours[i].size() > 5 )
        {
            //返回輪廓的橢圓邊界框
            minEllipse[i] = fitEllipse( Mat(contours[i]) ); 
        }
     }

    /// 繪出輪廓及其可傾斜的邊界框和邊界橢圓
    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) );
        // contour
        drawContours( drawing, contours, i, color, 1, 8, vector<Vec4i>(), 0, Point() );
        // ellipse
        ellipse( drawing, minEllipse[i], color, 2, 8 );
        // rotated rectangle
        Point2f rect_points[4]; 
        minRect[i].points( rect_points );
        for( int j = 0; j < 4; j++ )
            line( drawing, rect_points[j], rect_points[(j+1)%4], color, 1, 8 );
     }

    /// 結果在窗體中顯示
    namedWindow( "Contours", CV_WINDOW_AUTOSIZE );
    imshow( "Contours", drawing );
}

/** @function main */
int main( int argc, char** argv )
{
    /// 加載源圖像
    src = imread( argv[1], 1 );
    /// 轉爲灰度圖並模糊化
    cvtColor( src, src_gray, CV_BGR2GRAY );
    blur( src_gray, src_gray, Size(3,3) );
    /// 創建窗體
    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);
}

參考文獻
1.http://www.opencv.org.cn/opencvdoc/2.3.2/html/doc/tutorials/imgproc/shapedescriptors/bounding_rotated_ellipses/bounding_rotated_ellipses.html

發表評論
所有評論
還沒有人評論,想成為第一個評論的人麼? 請在上方評論欄輸入並且點擊發布.
相關文章