Setting cvbloblib in Visual studio 2010

Hey guys

           I am giving tutorials for setting cvbloblib in Microsoft Visual studio 2010

*Download cvblobllib from willogarage website

http://opencv.willowgarage.com/wiki/cvBlobsLib/

Setting OpenCV in Visual studio2010

Download cvbloblib for linux(Note:Windows version not working for me)

Extract all files to project folder

Add headers and source file into the project

test.cpp file

 // ObjectTracking.cpp : Define the entry point for console app.   
 #include "opencv/cv.h"   
 #include "opencv/highgui.h"   
 #include "BlobResult.h"   
 // Get thresholded image in HSV format   
 IplImage* GetThresholdedImageHSV( IplImage* img )   
 {   
   // Create an HSV format image from image passed   
   IplImage* imgHSV = cvCreateImage( cvGetSize( img ),    
                    8,    
                    3 );     
   cvCvtColor( img, imgHSV, CV_BGR2HSV );   
   // Create binary thresholded image acc. to max/min HSV ranges   
   IplImage* imgThresh = cvCreateImage( cvGetSize( img ),    
                      8,    
                      1 );         
   cvInRangeS( imgHSV,   
         cvScalar( 104, 178, 70 ),   
         cvScalar( 130, 240, 124 ),   
         imgThresh );   
   // Tidy up and return thresholded image   
   cvReleaseImage( &imgHSV );   
   return imgThresh;   
 }   
 int main()   
 {   
   CBlobResult blobs;    
   CBlob *currentBlob;    
   CvPoint pt1, pt2;   
   CvRect cvRect;   
   int key = 0;   
   IplImage* frame = 0;   
   CvCapture* capture = 0;  
   // Initialize capturing live feed from video file or camera   
   capture = cvCaptureFromCAM(0);  
   // Get the frames per second   
  // int fps = ( int )cvGetCaptureProperty( capture,   
                 //      CV_CAP_PROP_FPS );    
   // Can't get device? Complain and quit   
   if( !capture )   
   {   
     printf( "Could not initialize capturing...\n" );   
     return -1;   
   }   
   // Windows used to display input video with bounding rectangles   
   // and the thresholded video   
   cvNamedWindow( "video" );   
   cvNamedWindow( "thresh" );      
   // An infinite loop   
   while( key != 'x' )   
   {   
     // If we couldn't grab a frame... quit   
     if( !( frame = cvQueryFrame( capture ) ) )   
       break;      
     // Get object's thresholded image (blue = white, rest = black)   
     IplImage* imgThresh = GetThresholdedImageHSV( frame );      
     // Detect the white blobs from the black background   
     blobs = CBlobResult( imgThresh, NULL, 0 );    
     // Exclude white blobs smaller than the given value (10)    
     // The bigger the last parameter, the bigger the blobs need    
     // to be for inclusion    
     blobs.Filter( blobs,   
            B_EXCLUDE,   
            CBlobGetArea(),   
            B_LESS,   
            10 );        
     // Attach a bounding rectangle for each blob discovered   
     int num_blobs = blobs.GetNumBlobs();   
     for ( int i = 0; i < num_blobs; i++ )      {        currentBlob = blobs.GetBlob( i );       cvRect = currentBlob->GetBoundingBox();   
       pt1.x = cvRect.x;   
       pt1.y = cvRect.y;   
       pt2.x = cvRect.x + cvRect.width;   
       pt2.y = cvRect.y + cvRect.height;   
       // Attach bounding rect to blob in orginal video input   
       cvRectangle( frame,   
              pt1,    
              pt2,   
              cvScalar(0, 0, 0, 0),   
              1,   
              8,   
              0 );   
     }   
     // Add the black and white and original images   
     cvShowImage( "thresh", imgThresh );   
     cvShowImage( "video", frame );   
     // Optional - used to slow up the display of frames   
     key = cvWaitKey(1);   
     // Prevent memory leaks by releasing thresholded image   
     cvReleaseImage( &imgThresh );      
   }  
   // We're through with using camera.    
   cvReleaseCapture( &capture );   
   return 0;   
 }   

Compile and build test.cpp along with the source files and the output will look like this

Output

Video