A Multiscale and Anisotropic Edge Detection Algorithm

DOI

10.2991/lemcs-14.2014.249How to use a DOI?

Keywords

Edge detection; multiscale filter; maximum response; Canny operator;scale multiplication

Abstract

Edge detection is of important significance for computer vision. Current edge detection methods based on the first derivative or second derivative such as Canny and Laplace and Gaussian operators use single scale information and do not take account of the edge directions sufficiently. Those operators cannot distinguish edges and noise well. A multiscale and multidirectional edge detection algorithm is proposed for gray images in this paper. Gaussian function is used as the filter kernel. A serials scales and directional filters are generated by the generating function. A bank of edge maps are acquired by convoluting the original image with those filters. The maximum response is used to find the local maximum in the maps. Finally, the edges are determined after a certain threshold. The experiments show that the proposed algorithm gets outperformance compare to some state of art methods.

Copyright

© 2014, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Hua-Jie Cai
AU  - Xin Tian
AU  - Tao Li
PY  - 2014/05
DA  - 2014/05
TI  - A Multiscale and Anisotropic Edge Detection Algorithm
BT  - Proceedings of the International Conference on Logistics, Engineering, Management and Computer Science
PB  - Atlantis Press
SP  - 1113
EP  - 1116
SN  - 1951-6851
UR  - https://doi.org/10.2991/lemcs-14.2014.249
DO  - 10.2991/lemcs-14.2014.249
ID  - Cai2014/05
ER  -