Similarity Measure Using Hausdorff Distance in 2D Shape Recognition System
Rasul Enayatifar, Rosalina Abdul Salam
Available Online April 2013.
- 10.2991/3ca-13.2013.49How to use a DOI?
- component; Edge detection, Fuzzy cellular Automata, Hausdorff method
Shape plays an important role for human to recognize an object. Shape can be recognized easily by human regardless of size, rotation or translation. In this paper a shape recognition system is presented. In this research, authors investigate late improves in shape analysis and shape recognition issues with a concentrate on significant highlights of a shape. In the proposed method, the first stage is an edge detection method based on fuzzy cellular automata. In the second stage, shapes were clustered based on the differences of degree of each angle. Finally Hausdorff method is used for determining the rate of similarities. Simulation results demonstrate the system invariance to rotation, translation and scale.
- © 2013, 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 - Rasul Enayatifar AU - Rosalina Abdul Salam PY - 2013/04 DA - 2013/04 TI - Similarity Measure Using Hausdorff Distance in 2D Shape Recognition System BT - Proceedings of the 2nd International Symposium on Computer, Communication, Control and Automation PB - Atlantis Press SP - 194 EP - 197 SN - 1951-6851 UR - https://doi.org/10.2991/3ca-13.2013.49 DO - 10.2991/3ca-13.2013.49 ID - Enayatifar2013/04 ER -