A NOVEL HOUGH TRANSFORM BASED ON ELIMINATING PARTICLE SWARM OPTIMIZATION AND ITS APPLICATIONS
Yanhui Guo 0, H.D. Cheng, Wei Zhao, Yingtao Zhang
0School of Computer Science and technology
Available Online December 2008.
- https://doi.org/10.2991/jcis.2008.40How to use a DOI?
- Hough transform, Particle swarm optimization, Eliminating PSO, Curve detection.
- Hough transform (HT) is a well estab-lished method for curve detection and recognition due to its robustness and in-sensitiveness to noise, and its parallel processing capability. However, HT is quite time-consuming. In this paper, an eliminating particle swarm optimization (EPSO) algorithm is studied to improve the speed of a Hough transform. The so-lutions of Hough transformation are con-sidered as the particles positions, and the EPSO algorithm searches the optimum solution by eliminating the “weakest” particles to speed up the computation. An accumulation array in Hough transforma-tion is utilized as a fitness function of the EPSO algorithm. The experiments on numerous images show that the proposed approach can be used to detect curves or contours of both noise-free and noisy im-ages with much better performance. Es-pecially, for noisy images, it can archive much better results than that obtained by using the existing HT algorithms.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Yanhui Guo AU - H.D. Cheng AU - Wei Zhao AU - Yingtao Zhang PY - 2008/12 DA - 2008/12 TI - A NOVEL HOUGH TRANSFORM BASED ON ELIMINATING PARTICLE SWARM OPTIMIZATION AND ITS APPLICATIONS BT - 11th Joint International Conference on Information Sciences PB - Atlantis Press SN - 1951-6851 UR - https://doi.org/10.2991/jcis.2008.40 DO - https://doi.org/10.2991/jcis.2008.40 ID - Guo2008/12 ER -