A Multiscale and Anisotropic Edge Detection Algorithm
Hua-Jie Cai, Xin Tian, Tao Li
Available Online May 2014.
- https://doi.org/10.2991/lemcs-14.2014.249How to use a DOI?
- Edge detection; multiscale filter; maximum response; Canny operator;scale multiplication
- 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.
- 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 -