IEEE Transactions on Pattern Analysis and Machine Intelligence
A Computational Approach to Edge Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence
IEEE Transactions on Pattern Analysis and Machine Intelligence
Optimal infinite impulse response zero crossing based edge detectors
CVGIP: Image Understanding
Edge Detection and Ridge Detection with Automatic Scale Selection
International Journal of Computer Vision
A Model-based Line Detection Algorithm in Documents
ICDAR '03 Proceedings of the Seventh International Conference on Document Analysis and Recognition - Volume 1
Randomized Generalized Hough Transform for 2-D Grayscale Object Detection
ICPR '96 Proceedings of the 13th International Conference on Pattern Recognition - Volume 2
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 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.