Research of Pulse Coupled Neural Network on Image Processing
Zhenyu Han1, QingE Wu2
1Prof. Zhenyu Han, College of Electric and Information Engineering, Zhengzhou University of Light Industry, Zhengzhou, China.
2Dr. QingE Wu, College of Electric and Information Engineering, Zhengzhou University of Light Industry, Zhengzhou, China.
Manuscript received on August 01, 2015. | Revised Version Manuscript Received on August 05, 2015. | Manuscript published on August 20, 2015. | PP: 1-4 | Volume-1 Issue-8, August 2015
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© The Authors. Published by Lattice Science Publication (LSP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: This paper proposes a new adaptive pulse coupled neural network simplified models. The parameters of the model are not artificially outside interference, the decision by the pixel itself. On this basis, this paper focuses on the use of pulse coupled neural network ignition matrix for the impulse noise detection and location, and clearly pointed out that the study emphasis in the future. Moreover, the noise filtering algorithms have been ported to Field Programmable Gate Array (FPGA) hardware platform for implementation compare to the implementation of software. The implementation of FPGA hardware platform possesses high-speed, reconfiguration and other advantages.
Keywords: Pulse-coupled neural network, Synchronous oscillation, Noise testing.