int imageClassifier::classify(IplImage *src)
{
// input: binary image, IplImage, any bit depth, 1 channel
// output: set classified image to 'classImg'
// return: 0
//
// Classify 'src' image by putting "labels" (1 to 0xff-1 (8bit image case) value, inclusive) to region in IplImage format.
CvScalar currentPixel;
int i, j;
// clone src to classImg
classImg = cvCloneImage(src);
// search
for(i=0; i<src->width; i++)
for(j=0; j<src->height; j++)
{
currentPixel = cvGet2D(classImg, j, i);
// if current pixel is white (not labeled pixel)
if(currentPixel.val[0] == WHITE)
{
labelling(i, j, NONE);
labelIncrement();
}
}
return 0;
}
int imageClassifier::classify(IplImage *src)
{
CvScalar currentPixel;
int i, j;
// clone src to classImg
classImg = cvCloneImage(src);
// search
for(i=0; i<src->width; i++)
for(j=0; j<src->height; j++)
{
currentPixel = cvGet2D(classImg, j, i);
// if current pixel is white (not labeled pixel)
if(currentPixel.val[0] == WHITE)
{
labelling(i, j, NONE);
labelIncrement();
}
}
return 0;
}
