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- Title
Image edge detection research based on improved particle swarm optimization algorithm.
- Authors
WANG Hong-tao; LI Dan
- Abstract
The presented binary particle swarm optimization algorithm is used to improve the quality of image edge detection. First, the particle velocity is updated through logistic tranform which isn't restricted. Second, position of particle is adjusted dynamically, and state of flight is adjusted fully. Third, inertia weight of particle is adjusted dynamically by normal cloud generator, smaller particle is got optimum inertia weight. Finally, the processing of image edge detection is described. The experiment results show that the edge detection is precisely and clear,SNR is 35. 928 ldb, time is 1. 454 3 s. It has large information and takes less time.
- Publication
Chinese Journal of Liquid Crystal & Displays, 2014, Vol 29, Issue 5, p800
- ISSN
1007-2780
- Publication type
Article
- DOI
10.3788/YJYXS20142905.0800