Haar classifier limitations
I am working on a project that should take a ct scan image as an input and it should detect the kidney and do some processing on it, my question is due to the low features in that type of images and variant types of kidneys, is haar classifier qualified to detect such object?
The objects in the red rectangles (kidneys) are the target objects which i want to detect.
Another question i am training with the samples at the time i am writing this post, with 579 positive images and around 1k negative images i am using haartraining and it is running for 14 hours now and is in stage 4 but i've noticed in that stage that the SMP is always around 0% - 2% is that normal?
Here is the parameters i use for haartraining
haartraining.exe -data cascades -vec vector/kidney.vec -bg negative/bg.txt -npos 579 -nneg 973 -nstages 15 -mem 1024 -mode ALL -w 24 -h 24
rem -nonsym
a small example img might be helpful
@berak updated please check the images thanks for your note.
@StevenPuttemans i am very interested to hear your opinion in this matter.
24 hours passed in the same stage with exactly same SMP and same HR but the FA decreased a little bit I've updated the answer with the command i use for haar training for the second matter.
I guess its hanged there because HitRate doesn't increase at all for more than a day now but FalseAlarm does change, i think its maybe because i didn't set sufficient parameters? or i am wrong, in some cases it takes too long with the same numbers.