Я начинаю находить контур руки с помощью findContour, но когда я хочу вычислить палец с помощью convHull2 и convextyDefect, я не знаю, что делать.Вот мой код:
if( cascade1 )
{
static CvMemStorage* storage4 = 0;
static CvMemStorage* storage5 = 0;
static CvMemStorage* storage6 = 0;
static CvMemStorage* storage7 = 0;
CvSeq* contours;
CvSeq* hand_contour = NULL;
// There can be more than one hand in an image. So create a growable sequence of hands.
// Detect the objects and store them in the sequence
CvSeq* handsO = cvHaarDetectObjects( img, cascade1, storage1,1.1, 2, CV_HAAR_DO_CANNY_PRUNING,cvSize(40, 40) );
storage4 = cvCreateMemStorage(0);
storage5 = cvCreateMemStorage(0);
storage6 = cvCreateMemStorage(0);
storage7 = cvCreateMemStorage(0);
cvClearMemStorage( storage4 );
cvClearMemStorage( storage5 );
cvClearMemStorage( storage6 );
cvClearMemStorage( storage7 );
// Loop the number of hands found.
for( i = 0; i < (handsO ? handsO->total : 0); i++ )
{
// Create a new rectangle for drawing the hand
CvRect* r = (CvRect*)cvGetSeqElem( handsO, i );
// Find the dimensions of the hand,and scale it if necessary
pt1.x = r->x*scale;
pt2.x = (r->x+r->width)*scale;
pt1.y = r->y*scale;
pt2.y = (r->y+r->height)*scale;
///////////////////// start hand contour detection////////////////////////
// after finding the hand set it as the area of intrest of the image so all of the functions after that will apply only to that area
cvSetImageROI(Rhand, cvRect(r->x*scale, r->y*scale, r->width*scale, r->height*scale));
/*
/ prepare the image to the findContour function
/ 1- convert it to gray
/ 2- threshhold it
/ 3- find the edge
*/
cvShowImage( "gray hand", Rhand);
cvThreshold( Rhand, Rhand, 1, 255, CV_THRESH_BINARY );
cvShowImage( "Threshold hand", Rhand);
cvCanny(Rhand, Rhand, 1, 3, 5);
cvShowImage( "Edge hand", Rhand);
/*
// cloasing after threshold to test if it will be a beter result
IplConvKernel* kernel = 0;
kernel = cvCreateStructuringElementEx(5,5,0,0, CV_SHAPE_RECT);
cvDilate(Rhand,Rhand,kernel,1);
cvErode(Rhand,Rhand,kernel,1);
*/
// find all contour in the image
cvFindContours(Rhand,storage4,&contours,sizeof(CvContour),CV_RETR_LIST,CV_CHAIN_APPROX_SIMPLE,cvPoint(0,0));
// printf("\ncontour num%d",contours->total);
// find the beggest contour and make it as the hand by comaring the area of each contour
double area=0,biggestArea=0;
while(contours)
{
area = fabs( cvContourArea( contours, CV_WHOLE_SEQ ) );
//printf("\n\\\\\\\\\\\\\\\\\\\\\%f",area);
if ( area > biggestArea)
{
biggestArea = area;
hand_contour = contours;
//printf("\n\\\\\\\\\\\\\\\\\\\\biggest\\\\\\\\\\\\\\%d",hand_contour->total);
};
contours = contours->h_next;
}
cvWaitKey(0);
if(hand_contour)
{
hand_contour = cvApproxPoly( hand_contour, sizeof(CvContour), storage7, CV_POLY_APPROX_DP, 3, 1 );
CvRect rect = cvBoundingRect(hand_contour, 1 );
CvBox2D box = cvMinAreaRect2( hand_contour, storage6 );
//draw the rectangle arround the contour
cvRectangle( img, cvPoint(rect.x, rect.y + rect.height), cvPoint(rect.x + rect.width, rect.y), CV_RGB(255, 255, 0), 1, 8, 0 );
// preparing to detect the finger and compute/ draw them
CvSeq* hull = cvConvexHull2( hand_contour, 0, CV_CLOCKWISE, 0 );
int numOfHull =hull->total;
CvPoint* hullPoints;
hullPoints = ( CvPoint *)malloc((hull->total)*sizeof(CvSeq));
cvCvtSeqToArray(hull,hullPoints);
CvSeq* defect = cvConvexityDefects( hand_contour, hull, storage5 );
int numOfdefect =defect->total;
CvConvexityDefect* defectArray;
defectArray = (CvConvexityDefect*)malloc(sizeof(CvConvexityDefect)*numofdefect);
cvCvtSeqToArray(defect,defectArray);
/*int h1,h2;
for(i=0; i<numofHull-1; i++)
{
h1=hull[i];
h2=hull[i+1];
cvLine(img, defectArray[h1],defectArray[h2],CV_RGB(255,255,255),1, CV_AA, 0 );
}
int h3=hull[numofHull-1],h4=hull[0];
cvLine(img, defectArray[h3],defectArray[h4],CV_RGB(255,255,255),1, CV_AA, 0 );
// Free memory.
free(defectArray);
free(hull); */
int m=10;
//cvPolyLine(img,&hullPoints,&m,CV_RGB( 0, 0, 100),1,8,0);
//cvPolyLine( img, &hullPoints, &m, 2, 0, CV_RGB(0,0,100),10, CV_AA, 0);
cvCircle( img, cvPoint(pt1.x, pt1.y), 3, CV_RGB(255, 128, 0), 3, 8, 0 );
cvCircle( img, cvPoint(box.center.x, box.center.y), 3, CV_RGB(75, 243, 243), 1, 8, 0 );
cvEllipse( img, cvPoint(pt1.x, pt1.y), cvSize(box.size.height/2, box.size.width/2), box.angle, 0, 360, CV_RGB(220, 0, 120), 2, 8, 0 );
cvDrawContours( Rhand, hand_contour, CV_RGB( 0, 200, 100), CV_RGB( 100, 0, 0), 1, 1, 8, cvPoint(pt1.x,pt1.y));
cvDrawContours( img, hand_contour, CV_RGB( 0, 200, 100), CV_RGB( 100, 0, 0), 1, 1, 8, cvPoint(pt1.x,pt1.y));
cvShowImage( "Rhand after draw contour", Rhand);
cvShowImage( "img After draw contour", img);
cvResetImageROI(Rhand);
///////////////////// End hand contour detection////////////////////////
}
// Draw the rectangle in the input image
cvRectangle( img, pt1, pt2, CV_RGB(0,255,0), 3, 8, 0 );
}
cvClearSeq(handsO);
}