In image processing terms, what I'm trying to do is perform feature extraction from the images. A number of methods are available, but our images are such, that we need to get away from traditional methods such as simple thresholding, or plain classical edges and corner detection (Canny edge detection, Hough transform, etc...) The reason for this is that our images are extremely noisy (i.e., a lot of information in the image is irrelevant information), and the classical methods don't work well on noisy images. There is one method though that has the potential to help us extract these features we're looking to extract. This method is the so-called phase congruency method [1]. And it's the one I've been working on. [ ... ]