DocumentCode
190058
Title
Hardware implementation of IC-PCNN for the color image segmentation
Author
Yoshihara, Masahiro ; Kurokawa, Hiroaki
Author_Institution
Sch. of Comput. Sci., Tokyo Univ. of Technol., Hachioji, Japan
fYear
2014
fDate
14-16 April 2014
Firstpage
391
Lastpage
396
Abstract
An image processing using the Pulse Coupled Neural Network(PCNN) has been proposed and well studied recently. To achieve a color image processing using the PCNN scheme, authors had been proposed the IC-PCNN as an extended model of the PCNN. In our previous paper, the successful results of color image segmentation had been shown by numerical experiments. This paper describes the hardware implementation of the Inhibitory Connected Pulse Coupled Neural Network(IC-PCNN) in FPGA. From the results, we evaluate the possibility of our IC-PCNN for the embedded system.
Keywords
image colour analysis; image segmentation; neural nets; FPGA; IC-PCNN scheme; color image segmentation; embedded system; image processing; inhibitory connected pulse coupled neural network; pulse coupled neural network; Biological neural networks; Color; Field programmable gate arrays; Image segmentation; Joining processes; Neurons; FPGA; Keywarods; Pulse Coupled Neural Networks; image segmentation;
fLanguage
English
Publisher
ieee
Conference_Titel
Region 10 Symposium, 2014 IEEE
Conference_Location
Kuala Lumpur
Print_ISBN
978-1-4799-2028-0
Type
conf
DOI
10.1109/TENCONSpring.2014.6863064
Filename
6863064
Link To Document