DocumentCode :
2744797
Title :
Application of Pulse Coupled Neural Network in Image Recognition
Author :
He, Shuiming ; Wang, Dianhong ; Nin, Yanbin
Author_Institution :
China Univ. of Geosci., Wuhan, China
Volume :
2
fYear :
2010
fDate :
5-6 June 2010
Firstpage :
415
Lastpage :
419
Abstract :
Compared with other neural network, PCNN has congenital advantage. Johnson have proved that each input image has its own unique time signature series by lot´s of experiments, and additionally, most of the input images are also have their own unique image Entropy sequence, so according to these characteristics of the image, and combining the characteristics of PCNN itself in the field of image processing, as is shown in the experiments, PCNN could successfully recognize the image which was polluted by different noise.
Keywords :
entropy; image recognition; image sequences; neural nets; time series; image entropy sequence; image processing; image recognition; pulse coupled neural network; time signature series; Biological system modeling; Cells (biology); Entropy; Image processing; Image recognition; Joining processes; Neural networks; Neurons; Output feedback; Pulse modulation; Characteristic time series -component; Image recognition; Pulse coupled neural network;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computing, Control and Industrial Engineering (CCIE), 2010 International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-0-7695-4026-9
Type :
conf
DOI :
10.1109/CCIE.2010.223
Filename :
5491926
Link To Document :
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