Computer graphics: principles and practice (2nd ed.)
Computer graphics: principles and practice (2nd ed.)
Computing perceptual organization in computer vision
Computing perceptual organization in computer vision
IEEE Transactions on Pattern Analysis and Machine Intelligence
Autoorganised Structures for Extraction of Perceptual Primitives
IWANN '01 Proceedings of the 6th International Work-Conference on Artificial and Natural Neural Networks: Bio-inspired Applications of Connectionism-Part II
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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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.