WANG Hong-tao, LI Dan. Image edge detection research based on improved particle swarm optimization algorithm[J]. , 2014,29(5): 800-804 DOI: 10.3788/YJYXS20142905.0800.
Image edge detection research based on improved particle swarm optimization algorithm
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 1db
time is 1.454 3 s.It has large information and takes less time.
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references
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