Adaptive Image Segmentation Using Modified Pulse Coupled Neural Network

Authors:
Wei Cai;Gang Li;Min Li;Xiaoyan Li
Affiliations:
Xi'an Research Inst. of Hi-Tech, Xi'an, China 710025;The Second Artillery Military Office in Li-Shan Microelectronics Company, Xi'an, China 710075;Xi'an Research Inst. of Hi-Tech, Xi'an, China 710025;Academy of Armored Force Engineering Department of Information Engineering, Beijing, China 100858
Venue:
ISNN '08 Proceedings of the 5th international symposium on Neural Networks: Advances in Neural Networks, Part II
Year:
2008

Citing 3
Cited 0

Feature Extraction using Unit-linking Pulse Coupled Neural Network and its Applications

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Feature linking via synchronization among distributed assemblies: Simulations of results from cat visual cortex

Neural Computation
PCNN models and applications

IEEE Transactions on Neural Networks

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Abstract

This paper proposes a novel image segmentation algorithm based on Pulse Coupled Neural Network (PCNN).Unlike the traditional PCNN image segmentation methods, the presented algorithm can achieve the optimum parameters automatically. Experimental results show its good performance and robustness. The research fruits have great importance both on the theory research and practical application of PCNN.