Perceptual Organization of Directional Primitives Using a Pseudocolor Hough Transform
This paper describes a computational framework developed for the extraction of low-level directional primitives present in an image, and subsequent organization using the laws of perceptual grouping. The system is divided in three stages. Extraction of the directional features in the image, through an efficient implementation of Gabor wavelet decomposition. Reduction of these high dimensionality results by means of growing cell structures. And extraction of the segments from the image by means of a Fuzzy Hough Transform.
KeywordsPerceptual primitives Gabor wavelets growing cell structures chromaticity diagram Hough transform
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