negative images in haarcascade - training
I would like to detect specific characteristic from laparoscopy surgery. The item that I want to detect appears here https://www.dropbox.com/s/n0yxrt7o4llv6l8/im1_55.bmp?m The negative images that I use are similar with that https://www.dropbox.com/s/lse4qzi0drn0m1q/im_14.bmp But when I take the xml file and use it in my program can not recognize any object. Do anyone know what is the problem?
your 2nd link requires login.
sorry I fix it
honestly , if you don't get any detections, it's probably, because your positive images don't have any clear shape in it.
what's the thing, you're actually trying to find ? the tip of the instrument ? some kind of 'skin state' ?
the bubbles that appear when doctor burn the tissue.
lol, ok. i see ;)
still, haar classifiers try to approx the scene with combinations of small boxes, hog classifiers with 'gradient' lines.
you need proper contours for that, not a mass of foam ( whoever was responsible for that .. )
so, it's the instrument, you're trying to track ?
instrument when burn something cause I want the effect of the operation