Best method to detect hematoma from white skin

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Thank you for your quick answer. Good idea I will do that. But do you think there is some better method to detect in my case hematoma? I mean some other method as detecting by color.

A hematoma is more or less defines by its color, so I guess a color segmentation is the right way to go. I was just thinking about using a different wavelength (do hematoma maybe look different in IR light? ) Or are they a bit colder as there is less blood flow in this area?)

BTW: The right hematoma looks like a ghost :)

Haha actually it does look like a ghost indeed :D I don't know about hematoma temperature or how it looks like under IR light but thanks for the new idea. I will definitely check it out :)

Moreover, if you still get gaps within your big contours you can use the CV_FILLED option in order to fill them. But in general as the people above proposed I think colour segmentation is the right way to go. Furthermore, try to use some morphology operation to the binary image in order to refine your blobs and get better results.

thank you for advice but can you be more specific? I am new in this area opencv. Also I want to ask if using new lib cvBlob would improve me results?

for the CV_FILLED option check this. As for the morphology operations the official opencv tutorials I think will help you. Erosion or opening is what you are looking for.

I am already doing morfology operation by opening(dilation(erosion(image))) and then I get contour by taking the Image - erode but I need to find out how to get rid of gaps

then check the link about the cv_filled option in the drawcontours() function

vector<vector<Point> > contours;
findContours(bwImage, contours, CV_RETR_EXTERNAL, CV_CHAIN_APPROX_SIMPLE);
drawContours(bwImage, contours, -1, Scalar(255), CV_FILLED);

I fixed it adding some blur medianBlur(smallHSV, smallHSV, 13); I will try also your suggestion, thank you

works as a charm :) It gives me better result after your suggested way because after blur image lose "quality"

BTW: sorry for my english :D