PERCEPTUAL ORGANIZATION OF DIRECTIONAL PRIMITIVES USING A PSEUDOCOLOR FUZZY HOUGH TRANSFORM FOR ARC DETECTION

摘要

This paper describes a computational framework for extracting the low-level directional primitives present in an image and organizing them into circular arcs. The system is divided into three stages: extraction of the directional features through an efficient implementation of the Gabor wavelet decomposition, reduction of the high dimensional Gabor results by means of growing cell structures and detection of the circular arcs by means of a pseudo-color Fuzzy Hough Transform.