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I'm working on a project to do segmentation of thermal images. So far, the methods have produced limited segmentation performance (k-means, Otsu's Method, Sobel, Canny, LoG).

I am trying to achieve good segmentation of doors and windows in images like these. What approaches would you suggest to try?

I have tried to convert the images to grayscale using the temperature map, but this has done little to improve segmentation accuracy of these regions of interest.

enter image description here

enter image description here

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  • $\begingroup$ Probably this could be of some help: Finding squares in Image $\endgroup$
    – Duck Dodgers
    Jul 26, 2019 at 13:21
  • $\begingroup$ Doors and windows are mostly squares (or rectanges) ;), with maybe embedded squares/rectanges embedded within. $\endgroup$
    – Duck Dodgers
    Jul 26, 2019 at 13:22

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