侧抑制网络在彩色图像边缘增强中的应用  

Application of Lateral Inhibition Models in Color Image Edge Enhancement

作　　者：王怀野[1] 李言俊[1] 

机构地区：[1]西北工业大学航天工程学院803教研室,西安710072

出　　处：《计算机工程与应用》2003年第26期55-57,共3页Computer Engineering and Applications

基　　金：高等学校博士学科点专项科研基金(编号:20020699014)

摘　　要：论文根据双色反射模型推导了三个颜色通道的相互关系,提出了一种彩色图像边缘增强算法,该算法先增强一个颜色通道,然后构造一个比例矩阵来处理其余两个通道,即可以实现彩色图像增强。结合侧抑制网络能突出边缘的特点,论文给出了具体的算法。仿真结果显示该方法很有效。In this paper,a color image edge enhancement algorithm based on a lateral inhibition neural network is in-troduced.According to double color reflection model,this paper develops the relationship of three channels of color im-age,we find that color image may process one color channel firstly,and then produce a scale-matrix,the other color channel may process by the scale-matrix.Associating with lateral inhibition neural network which can enhance image edge,a usable algorithm is given.The results show the algorithm is reasonable and effective.

关 键 词：侧抑制 图像增强 反射模型 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]