I have a 8 bit gray level image where if the value = 122 it means no information, value = 0 means highly negative, and value = 255 means highly positive. I want to connect as many positive information pixels with each other as possible to form as large an area as possible (and not let accidental negative values affect it), and get all the contour of it (which I will then filter out based on # of positive dots and total area of the contour). The ideal contours are the red lines I have drawn onto the image above, and the full image is below.
What is the best strategy to go about doing this?
The 3rd image is a zoomed in view of the image to show the pixels after filtering / processing just looks like that.