An Image Edge Thinning Algorithm Based on Fuzzy classifications
Authors
Yi He, Rong Fu, LiYan Liu, Yingqian Zhang
Corresponding Author
Yi He
Available Online April 2015.
- DOI
- 10.2991/ameii-15.2015.40How to use a DOI?
- Keywords
- Image processing; Fuzzy classification theory; Edge Thinning
- Abstract
This paper has presented secondary determination of image edge based on fuzzy classification theory and pixel directivity, as well as real edge sharpening. Experiment show the algorithm can detect fuzzy image edge effectively with strong anti-noise ability, and the edge is obviously thinned.
- Copyright
- © 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 - Yi He AU - Rong Fu AU - LiYan Liu AU - Yingqian Zhang PY - 2015/04 DA - 2015/04 TI - An Image Edge Thinning Algorithm Based on Fuzzy classifications BT - Proceedings of the International Conference on Advances in Mechanical Engineering and Industrial Informatics PB - Atlantis Press SP - 219 EP - 223 SN - 2352-5401 UR - https://doi.org/10.2991/ameii-15.2015.40 DO - 10.2991/ameii-15.2015.40 ID - He2015/04 ER -