2010 National Conference of Higher Vocational and Technical Education on Computer Information (NCHVT 2010 E-BOOK)

Rizhao,China,12.4-12.5,2010

ISBN: 978-1-935068-31-0 Scientific Research Publishing, USA

E-Book 358pp Pub. Date: December 2010

Category: Social Sciences & Humanities

Price: $70

Title: The Study of Image Segmentation Based on PCNN and PSO
Source: 2010 National Conference of Higher Vocational and Technical Education on Computer Information (NCHVT 2010 E-BOOK) (pp 219-223)
Author(s): Bo Wang, Teacher Training Center,Northwest University,Xi’ani,China, 710127
Wei Ge, College of Ihformation Science and Technology,Northwest University,Xi’an, China, 710127
Zhi-qiang Liu, Sanmenxia Polytechnic, Sanmenxia , China,472000
Abstract: Pulse coupled neural network(PCNN) finds many applications in image processing. Because the parameters greatly affect the performance of PCNN, finding the optimal parameters becomes an onerous task. Especially in image segmentation, the parameters vary with the image that needs to process. An automated PCNN method was proposed that based on PCNN and Particle Swarm Optimization algorithm (PSO) and it was used to segment the image automatically and successfully. The correctness and dependability of the automated PCNN method are verified by experiment results, that is to say, the quality of the segmentation based on the automated PCNN method is much better and parameters-setting automatically is the main feature of the method.
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