An automatic rough indication of these "hotspot" areas can be obtained by a gaussian filtering followed by a binarization. The expectation is that the "hotspot" is much brighter than the area around it, so after a gaussian filtering they will be at least slightly highlighted and, at the same time, image artifacts are reduced due to the nature of the low-pass filtering.
Example results follow. Binarization at 0.75 (range is always [0, 1]) after a simple conversion to grayscale, Binarization at 0.85 after a gaussian filtering in the B
channel of the HSB
colorspace:
In both cases large components were removed due to the assumption that "hotspots" aren't too big.