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Research of automatic medical image segmentation algorithm based on Tsallis entropy and improved PCNN

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4 Author(s)
Shi Weili ; Changchun Univ. of Sci. & Technol., Changchun, China ; Miao Yu ; Chen Zhanfang ; Zhang Hongbiao

It needs set parameters on image segmentation based on PCNN (Pulse Coupled Neural Network) now. This paper points out the new method for medical image segmentation based on improved PCNN and Tsallis entropy. The new methods can automatically segment the medical images without selecting the PCNN parameters. It gets the best results with combining with the Tsallis entropy. The new method is very useful for PCNN application in the medical images segmentation.

Published in:

Mechatronics and Automation, 2009. ICMA 2009. International Conference on

Date of Conference:

9-12 Aug. 2009