The lateral restraint network model on the processing of image

Authors:
Li Feng;Zhao ShiMin;Liu XiaoQiang
Affiliations:
Computer Institute, DongHua University, ShangHai, China;Shanghai Shentong Rail Transit Research & Consultancy Co., Ltd, ShangHai, China;Computer Institute, DongHua University, ShangHai, China
Venue:
MUSP'07 Proceedings of the 7th WSEAS International Conference on Multimedia Systems & Signal Processing
Year:
2007

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Abstract

Based on the ocular neural system, the Lateral Restraint Network Model on the processing of the image is presented in paper. The mathematic model of the network is also presented. In the network model, in addition to the negative feedback of the ocular neural cell, an ocular neural cell is only excited by the corresponding light spot in the field of vision and inhibited by the other light spot. The network has its advantages on the processing of image. It can detect the edge, sharp-angle, end-point, flexure, crotch and junction in the image. The learning algorithm of the network model is discussed and the convergence of the algorithm is proven too. In the end of the paper, some examples are introduced about the application of the network.