AddCanny: edge detector for video processing

Authors:
Luis Antón-Canalís;Mario Hernández-Tejera;Elena Sánchez-Nielsen
Affiliations:
Institute for Intelligent Systems and Numerical Applications in Engineering, IUSIANI. University of Las Palmas de Gran Canaria (ULPGC), Las Palmas, Spain;Institute for Intelligent Systems and Numerical Applications in Engineering, IUSIANI. University of Las Palmas de Gran Canaria (ULPGC), Las Palmas, Spain;Departamento de Estadística, Investigación Operativa y Computación, University of La Laguna, S/C Tenerife, Spain
Venue:
ACIVS'06 Proceedings of the 8th international conference on Advanced Concepts For Intelligent Vision Systems
Year:
2006

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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.