DocumentCode
3105762
Title
A New Algorithm of Image Segmentation Based on Bidirectional Search Pulse-Coupled Neural Network
Author
Yang, Liu ; Lei, Kang
Author_Institution
Shenyang Univ., Shenyang, China
fYear
2010
fDate
26-28 Sept. 2010
Firstpage
101
Lastpage
104
Abstract
Pulse-Coupled Neural Network (PCNN) is a new kind of network, which is constructed by simulating the activities of the mammal´s visual cortex neurons. PCNN is suitable for image processing, including segmentation, image fusion, edge extraction. In this paper, a new method is proposed which is the use of Bidirectional search Pulse-Coupled Neural Network (BPCNN) in the color image segmentation. The validity of this method is well verified by the analysis and experiments.
Keywords
edge detection; feature extraction; image colour analysis; image fusion; image segmentation; neural nets; bidirectional search pulse coupled neural network; color image segmentation; edge extraction; image fusion; image processing; mammal visual cortex neurons; pulse coupled neural network; Artificial neural networks; Color; Ignition; Image color analysis; Image segmentation; Neurons; Bidirectional search; PCNN; image segmentation;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Aspects of Social Networks (CASoN), 2010 International Conference on
Conference_Location
Taiyuan
Print_ISBN
978-1-4244-8785-1
Type
conf
DOI
10.1109/CASoN.2010.30
Filename
5636807
Link To Document