[轉載]opencv識別正方形（矩形）代碼

mscdj 2014-07-02

展開全文

//2011.5.16 黃翔
//正方形檢測源碼
//載入數(shù)張包含各種形狀的圖片，檢測出其中的正方形

#include "cv.h"
#include "highgui.h"
#include <stdio.h>
#include <math.h>
#include <string.h>
#include <iostream>

int thresh = 50;
IplImage* img =NULL;
IplImage* img0 = NULL;
CvMemStorage* storage =NULL;
const char * wndname = "正方形檢測 demo";

//angle函數(shù)用來返回（兩個向量之間找到角度的余弦值）
double angle( CvPoint* pt1, CvPoint* pt2, CvPoint* pt0 )
{
double dx1 = pt1->x - pt0->x;
double dy1 = pt1->y - pt0->y;
double dx2 = pt2->x - pt0->x;
double dy2 = pt2->y - pt0->y;
return (dx1*dx2 + dy1*dy2)/sqrt((dx1*dx1 + dy1*dy1)*(dx2*dx2 + dy2*dy2) + 1e-10);
}

// 返回圖像中找到的所有輪廓序列，并且序列存儲在內存存儲器中

CvSeq* findSquares4( IplImage* img, CvMemStorage* storage )
{
CvSeq* contours;
int i, c, l, N = 11;
CvSize sz = cvSize( img->width & -2, img->height & -2 );

IplImage* timg = cvCloneImage( img );
IplImage* gray = cvCreateImage( sz, 8, 1 );
IplImage* pyr = cvCreateImage( cvSize(sz.width/2, sz.height/2), 8, 3 );
IplImage* tgray;
CvSeq* result;
double s, t;
// 創(chuàng)建一個空序列用于存儲輪廓角點
CvSeq* squares = cvCreateSeq( 0, sizeof(CvSeq), sizeof(CvPoint), storage );

cvSetImageROI( timg, cvRect( 0, 0, sz.width, sz.height ));
// 過濾噪音
cvPyrDown( timg, pyr, 7 );
cvPyrUp( pyr, timg, 7 );
tgray = cvCreateImage( sz, 8, 1 );

// 紅綠藍3色分別嘗試提取
for( c = 0; c < 3; c++ )
{
  // 提取 the c-th color plane
  cvSetImageCOI( timg, c+1 );
  cvCopy( timg, tgray, 0 );

  // 嘗試各種閾值提取得到的（N=11）
  for( l = 0; l < N; l++ )
  {
   // apply Canny. Take the upper threshold from slider
   // Canny helps to catch squares with gradient shading
   if( l == 0 )
   {
    cvCanny( tgray, gray, 0, thresh, 5 );
    //使用任意結構元素膨脹圖像
    cvDilate( gray, gray, 0, 1 );
   }
   else
   {
    // apply threshold if l!=0:
    cvThreshold( tgray, gray, (l+1)*255/N, 255, CV_THRESH_BINARY );
   }

   // 找到所有輪廓并且存儲在序列中
   cvFindContours( gray, storage, &contours, sizeof(CvContour),
    CV_RETR_LIST, CV_CHAIN_APPROX_SIMPLE, cvPoint(0,0) );

   // 遍歷找到的每個輪廓contours
   while( contours )
   {
     //用指定精度逼近多邊形曲線
    result = cvApproxPoly( contours, sizeof(CvContour), storage,
     CV_POLY_APPROX_DP, cvContourPerimeter(contours)*0.02, 0 );

    if( result->total == 4 &&
     fabs(cvContourArea(result,CV_WHOLE_SEQ)) > 500 &&
     fabs(cvContourArea(result,CV_WHOLE_SEQ)) < 100000 &&
     cvCheckContourConvexity(result) )
    {
     s = 0;

     for( i = 0; i < 5; i++ )
     {
      // find minimum angle between joint edges (maximum of cosine)
      if( i >= 2 )
      {
       t = fabs(angle(
        (CvPoint*)cvGetSeqElem( result, i ),
        (CvPoint*)cvGetSeqElem( result, i-2 ),
        (CvPoint*)cvGetSeqElem( result, i-1 )));
       s = s > t ? s : t;
      }
     }

     // if 余弦值足夠小，可以認定角度為90度直角
     //cos0.1=83度，能較好的趨近直角
     if( s < 0.1 )
      for( i = 0; i < 4; i++ )
       cvSeqPush( squares,
       (CvPoint*)cvGetSeqElem( result, i ));
    }

    // 繼續(xù)查找下一個輪廓
    contours = contours->h_next;
   }
  }
}
cvReleaseImage( &gray );
cvReleaseImage( &pyr );
cvReleaseImage( &tgray );
cvReleaseImage( &timg );

return squares;
}

//drawSquares函數(shù)用來畫出在圖像中找到的所有正方形輪廓
void drawSquares( IplImage* img, CvSeq* squares )
{
CvSeqReader reader;
IplImage* cpy = cvCloneImage( img );
int i;
cvStartReadSeq( squares, &reader, 0 );

// read 4 sequence elements at a time (all vertices of a square)
for( i = 0; i < squares->total; i += 4 )
{
CvPoint pt[4], *rect = pt;
int count = 4;

  // read 4 vertices
  CV_READ_SEQ_ELEM( pt[0], reader );
  CV_READ_SEQ_ELEM( pt[1], reader );
  CV_READ_SEQ_ELEM( pt[2], reader );
  CV_READ_SEQ_ELEM( pt[3], reader );

// draw the square as a closed polyline
cvPolyLine( cpy, &rect, &count, 1, 1, CV_RGB(0,255,0), 2, CV_AA, 0 );
}

cvShowImage( wndname, cpy );
cvReleaseImage( &cpy );
}

char* names[] = { "pic1.png", "pic2.png", "pic3.png",
"pic4.png", "pic5.png", "pic6.png","pic7.png","pic8.png",
"pic9.png","pic10.png","pic11.png","pic12.png", 0 };

int main(int argc, char** argv)
{
int i, c;
storage = cvCreateMemStorage(0);

for( i = 0; names[i] != 0; i++ )
{
  img0 = cvLoadImage( names[i], 1 );
  if( !img0 )
  {
   cout<<"不能載入"<<names[i]<<"繼續(xù)下一張圖片"<<endl;
   continue;
  }
  img = cvCloneImage( img0 );
  cvNamedWindow( wndname, 1 );