Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/48555
Title: AddCanny: edge detector for video processing
Authors: Antón-Canalís, Luis
Hernández Tejera, Mario 
Sánchez-Nielsen, Elena
UNESCO Clasification: 1203 Ciencia de los ordenadores
Issue Date: 2006
Journal: Lecture Notes in Computer Science 
Conference: 8th International Conference on Advanced Concepts for Intelligent Vision Systems 
8th International Conference on Advanced Concepts for Intelligent Vision Systems, ACIVS 2006 
Abstract: In this paper, we present AddCanny, an Anisotropic Diffusion and Dynamic reformulation of the Canny edge detector. The proposal provides two modifications to classical Canny detector. The first one consists of using an anisotropic diffusion filter instead of a Gaussian filter as Canny does in order to obtain better edge detection and location. The second one is the replacement of the hysteresis step by a dynamic threshold process, in order to reduce blinking effect of edges during successive frames and, therefore, generate more stable edges in sequences. Also, a new performance measurement based on the Euclidean Distance Transform to evaluate the consistency of computed edges is proposed. The paper includes experimental evaluations with different video streams that illustrate the advantages of AddCanny compared to classical Canny edge detector.
URI: http://hdl.handle.net/10553/48555
ISBN: 978-3-540-44630-9
3540446303
ISSN: 0302-9743
DOI: 10.1007/11864349_46
Source: Blanc-Talon J., Philips W., Popescu D., Scheunders P. (eds) Advanced Concepts for Intelligent Vision Systems. ACIVS 2006. Lecture Notes in Computer Science, vol 4179. Springer, Berlin, Heidelberg
Appears in Collections:Actas de congresos
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