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Perceptual organization of thin networks with active contour functions applied to medical and aerial images

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2 Author(s)
Montesinos, P. ; Parc Sci. G. Besse, Nimes, France ; Alquier, L.

This paper describes a new method of perceptual organization applied to the extraction of thin networks on aerial and medical images. The key point of our approach is to consider perceptual grouping as a problem of optimization. First the quality of a grouping is defined with a class of functions inspired by the energy functions used for active contours optimization (involving curvature, co-circularity, grey levels, and orientation). Such functions can be computed recursively, and optimized from a local to a global level with an algorithm related to dynamic programming. This is followed by a selection procedure which rates and extracts principal groupings. The validity of our approach is presented with synthetic images, aerial and medical data

Published in:

Pattern Recognition, 1996., Proceedings of the 13th International Conference on  (Volume:1 )

Date of Conference:

25-29 Aug 1996