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 |
Items in accedaCRIS are protected by copyright, with all rights reserved, unless otherwise indicated.