int
MidiFile::read(const char *fileName) {
if (fileName == NULL)
return 1;
setFileName(fileName);
_target = openFile(fileName);
if (!_target)
return 1;
readFileHeader();
setType();
setTrackCount();
setBPM();
for (int i = 0; i < _fileHeader._tracks; i++) {
_curTrack = i;
readTrack();
printContour();
}
fclose(_target);
return 0;
}
List<Garbage>
garbageList(IplImage * src){
cvNamedWindow("output",CV_WINDOW_AUTOSIZE);
//frame from video
IplImage * src;
//object model
IplImage * model;
if( argc != 2 || (capture=cvCreateFileCapture( argv[1]))== 0 ){
perror("Invalid capture");
return 0;
}
//image for the histogram-based filter
//could be a parameter
model=cvLoadImage("../images/colilla-sinBlanco.png",1);
CvHistogram * testImageHistogram=getHShistogramFromRGB(model,HIST_H_BINS,HIST_S_BINS);
//~ int frameWidth=cvGetCaptureProperty(capture,CV_CAP_PROP_FRAME_WIDTH);
//~ int frameHeight=cvGetCaptureProperty(capture,CV_CAP_PROP_FRAME_HEIGHT);
//gets a frame for setting image size
//CvSize srcSize = cvSize(frameWidth,frameHeight);
src=cvQueryFrame(capture);
CvSize srcSize = cvGetSize(src);
//images for HSV conversion
IplImage* hsv = cvCreateImage( srcSize, 8, 3 );
IplImage* h_plane = cvCreateImage( srcSize, 8, 1 );
IplImage* s_plane = cvCreateImage( srcSize, 8, 1 );
IplImage* v_plane = cvCreateImage( srcSize, 8, 1 );
//Image for thresholding
IplImage * threshImage=cvCreateImage(srcSize,8,1);
//image for equalization
IplImage * equalizedImage=cvCreateImage(srcSize,8,1);
//image for Morphing operations(Dilate-erode)
IplImage * morphImage=cvCreateImage(srcSize,8,1);
//image for image smoothing
IplImage * smoothImage=cvCreateImage(srcSize,8,1);
//image for contour-finding operations
IplImage * contourImage=cvCreateImage(srcSize,8,3);
int frameCounter=1;
int cont_index=0;
//convolution kernel for morph operations
IplConvKernel* element;
CvRect boundingRect;
//contours
CvSeq ** contours;
//Main loop
frameCounter++;
printf("frame number:%d\n",frameCounter);
//convert image to hsv
cvCvtColor( src, hsv, CV_BGR2HSV );
cvCvtPixToPlane( hsv, h_plane, s_plane, v_plane, 0 );
//equalize Saturation Channel image
cvEqualizeHist(s_plane,equalizedImage);
//threshold the equalized Saturation channel image
cvThreshold(equalizedImage,threshImage,THRESHOLD_VALUE,255,
CV_THRESH_BINARY);
//apply morphologic operations
element = cvCreateStructuringElementEx( MORPH_KERNEL_SIZE*2+1,
MORPH_KERNEL_SIZE*2+1, MORPH_KERNEL_SIZE, MORPH_KERNEL_SIZE,
CV_SHAPE_RECT, NULL);
cvDilate(threshImage,morphImage,element,MORPH_DILATE_ITER);
cvErode(morphImage,morphImage,element,MORPH_ERODE_ITER);
//apply smooth gaussian-filter
cvSmooth(morphImage,smoothImage,CV_GAUSSIAN,3,0,0,0);
//get all contours
contours=findContours(smoothImage);
cont_index=0;
cvCopy(src,contourImage,0);
while(contours[cont_index]!=NULL){
CvSeq * aContour=contours[cont_index];
//apply filters
if(perimeterFilter(aContour,MINCONTOUR_PERIMETER,
MAXCONTOUR_PERIMETER) &&
//areaFilter(aContour,MINCONTOUR_AREA,MAXCONTOUR_AREA) &&
rectangularAspectFilter(aContour,CONTOUR_RECTANGULAR_MIN_RATIO,
CONTOUR_RECTANGULAR_MAX_RATIO) &&
boxAreaFilter(aContour,BOXFILTER_TOLERANCE) &&
histogramMatchingFilter(src,aContour,testImageHistogram,
HIST_H_BINS,HIST_S_BINS,HIST_MIN)){
//if passed filters
printContour(aContour,3,cvScalar(127,127,0,0),
contourImage);
//get contour bounding box
boundingRect=cvBoundingRect(aContour,0);
cvRectangle(contourImage,cvPoint(boundingRect.x,boundingRect.y),
cvPoint(boundingRect.x+boundingRect.width,
boundingRect.y+boundingRect.height),
_GREEN,1,8,0);
}
cont_index++;
}
cvShowImage("output",contourImage);
cvWaitKey(0);
}
