Efficient Combination of the Fuzzy Hough Transform and the Burns Segment Detector

摘要

This paper describes a computational framework for the fully automated detection of line segments in 2D digital images. The operation of the framework is divided in two stages, the low level directional primitive detection through Gabor wavelets and growing cell structures, and the segment detection through an efficient and very accurate combination of the fuzzy Hough transform and the Burns segment detector.