Comparison of Random Circle Detection and Hough Transform Method in Detecting Obstructed Circle Object
Author:
Affiliation:
1. Andalas University, Kampus Baru Limau Manis, Padang, West Sumatra
2. Telkom Indonesia Company, Jakarta
Publisher
ACM Press
Reference9 articles.
1. Cuevas, E., Wario, F., Osuna-Enciso, V., Zaldivar, D., Pérez-Cisneros. 2012. Fast algorithm for multiple-circle detection on images using learning automata, IET Image Processing 6 (8), (2012), pp. 1124--1135.
2. Rahmadi Kurnia, Melia Asmita, Ikhwana Elfitri. 2017. Object detection on hindered condition using chain code-based angle detection, In Proceedings of the 2017 International Conference on Telecommunications and Communication Engineering. 2017
3. X. Chen, L. Lu, and Y. Gao. 2012. A new concentric circle detection method based on Hough transform, in Proceeding ofComputer Science & Education (ICCSE), 7th International Conference on Melbourne (IEEE, 2012), pp. 753--758.
4. Jiang, Liyuan. 2013. Fast randomized algorithm for circle detection by efficient sampling. Journal of Theoretical and Applied Information Technology Vol. 48 No.2.(2103).
5. Alomari, Yazan M,. 2014. Automatic Detection and Quantification of WBCs and RBCs Using Iterative Structured Circle Detection Algorithm. Hindawi Publishing Corporation Computational and Mathematical Methods in Medicine Volume.
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