[1]张韵农,何振亚,蔚承建,等.图像增强的自适应免疫算法[J].东南大学学报(自然科学版),2002,32(3):346-350.[doi:10.3969/j.issn.1001-0505.2002.03.008]
 Zhang Yunnong,He Zhenya,Wei Chengjian,et al.Application of immune algorithm to adaptive image enhancement[J].Journal of Southeast University (Natural Science Edition),2002,32(3):346-350.[doi:10.3969/j.issn.1001-0505.2002.03.008]
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图像增强的自适应免疫算法()
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《东南大学学报(自然科学版)》[ISSN:1001-0505/CN:32-1178/N]

卷:
32
期数:
2002年第3期
页码:
346-350
栏目:
信息与通信工程
出版日期:
2002-05-20

文章信息/Info

Title:
Application of immune algorithm to adaptive image enhancement
作者:
张韵农 何振亚 蔚承建 裴文江
东南大学无线电工程系, 南京 210096
Author(s):
Zhang Yunnong He Zhenya Wei Chengjian Pei Wenjiang
Department of Radio Engineering, Southeast University, Nanjing 210096, China
关键词:
图像增强 免疫算法 克隆选择原理 自适应变异
Keywords:
immune algorithm image enhancement clonal selection principle adaptive mutation
分类号:
TN911.73
DOI:
10.3969/j.issn.1001-0505.2002.03.008
摘要:
介绍了自适应免疫算法的基本原理及实现步骤,并将其应用到图像的增强处理中.在传统的图像增强处理中,针对图像灰度分布的不同情况,需要定义相应的灰度变换函数.Tubbs将图像增强处理中几种常用的非线性变换函数表示成一个归一化的非完全Beta函数,但确定Beta函数参数仍是一个复杂的问题.本文利用自适应免疫算法来确定该变换函数的最佳参数值.通过对自然图像的仿真实验可以看出本文方法的有效性.
Abstract:
The principle and steps of immune algorithm are studied, and an adaptive image enhancement method using immune algorithm is proposed. The nonlinear transform of gray level is an efficient way of image enhancement. In classical image enhancement methods, the specific transform function is determined according to the gray level distribution in the processed image. Tubbs proposed a normalized incomplete Beta function to represent the four kinds of nonlinear transform functions most commonly used. But how to adaptively define the coefficients of the Beta function is still a problem. We adopt an adaptive immune algorithm that explicitly searches the optimal or suboptimal coefficients more quickly. Compared with the common image adjustment approach, our method is more efficient and powerful.

参考文献/References:

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备注/Memo

备注/Memo:
基金项目: 国家自然科学基金资助项目(60133010,60102011)、江苏省自然科学基金资助项目(BK2001402).
作者简介: 张韵农(1970—),男,博士生; 何振亚(联系人),男,教授,博士生导师,zyhe@seu.edu.cn.
更新日期/Last Update: 2002-05-20