image adaptive edge detection based on canny operator and multiwavelet denoising
Available Online January 2015.
- 10.2991/iccset-14.2015.74How to use a DOI?
- Edge Detection, Canny Operator, Multiwavelet Denoising, Adaptive Threshold
Aim to problems of traditional canny operator, we propose an improved canny edge detection method. First, in order to overcome excessive smoothing, we use multiwave adaptive denoising method to instead of Gaussian filter. Then after obtaining non-maxima suppression image, we use mean values of gradient of entire image to adaptively select dual-threshold to instead of manually setting threshold. Our experiments are conducted on original image and noise image respectively. Experiments show compared with other traditional methods, this method can effectively remove noise, reduce the occurrence of pseudo-edge and obtain a more ideal edge detection effect finally.
- © 2015, 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/).
Cite this article
TY - CONF AU - Lin Zhang PY - 2015/01 DA - 2015/01 TI - image adaptive edge detection based on canny operator and multiwavelet denoising BT - Proceedings of the 2014 International Conference on Computer Science and Electronic Technology PB - Atlantis Press SP - 335 EP - 338 SN - 2352-538X UR - https://doi.org/10.2991/iccset-14.2015.74 DO - 10.2991/iccset-14.2015.74 ID - Zhang2015/01 ER -