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
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;
Conference_Titel :
Region 10 Symposium, 2014 IEEE
Conference_Location :
Kuala Lumpur
Print_ISBN :
978-1-4799-2028-0
DOI :
10.1109/TENCONSpring.2014.6863064
