Perceptual organization of directional primitives using a pseudocolor hough transform
SCIA'03 Proceedings of the 13th Scandinavian conference on Image analysis
Segment extraction using burns principles in a pseudo-color fuzzy hough transform
IbPRIA'05 Proceedings of the Second Iberian conference on Pattern Recognition and Image Analysis - Volume Part II
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In this work we have used directional features extracted form Gabor wavelet responses to compare different auto-organised networks in order to extract perceptual primitives without taking into account the kind of images to analyse. This is an adequate problem to prove the performance of these models because of the high dimensionality of the input space. Three different models have been analysed: self-organised maps, growing-cell structures and growing neural gas. Results have proved that growing-cell structures generalise better all directional perceptual primitives we are searching for, and they do not provide very noisy images.