Proceedings of the International Conference on Logistics, Engineering, Management and Computer Science

A Multiscale and Anisotropic Edge Detection Algorithm

Authors
Hua-Jie Cai, Xin Tian, Tao Li
Corresponding Author
Hua-Jie Cai
Available Online May 2014.
DOI
https://doi.org/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.
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This is an open access article distributed under the CC BY-NC license.

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Proceedings
International Conference on Logistics Engineering, Management and Computer Science (LEMCS 2014)
Part of series
Advances in Intelligent Systems Research
Publication Date
May 2014
ISBN
978-94-6252-010-3
ISSN
1951-6851
DOI
https://doi.org/10.2991/lemcs-14.2014.249How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

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  - International Conference on Logistics Engineering, Management and Computer Science (LEMCS 2014)
PB  - Atlantis Press
SN  - 1951-6851
UR  - https://doi.org/10.2991/lemcs-14.2014.249
DO  - https://doi.org/10.2991/lemcs-14.2014.249
ID  - Cai2014/05
ER  -