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