//2011.5.16 黃翔
//正方形檢測(cè)源碼
//載入數(shù)張包含各種形狀的圖片,檢測(cè)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(cè) demo";
//angle函數(shù)用來返回(兩個(gè)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(chǔ)在內(nèi)存存儲(chǔ)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(gè)空序列用于存儲(chǔ)輪廓角點(diǎn)
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(lán)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(jié)構(gòu)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(chǔ)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(gè)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(rèn)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(gè)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
);
// find and draw the
squares
drawSquares( img, findSquares4(
img, storage ) );
c = cvWaitKey(0);
cvReleaseImage(
&img );
cvReleaseImage(
&img0 );
cvClearMemStorage( storage
);
if( (char)c == 27 )
break;
}
cvDestroyWindow( wndname );
return 0;
}
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