GENETIC ALGORITHMS FOR OPTIMAL IMAGE-ENHANCEMENT

被引：73

作者：

PAL, SK

BHANDARI, D

KUNDU, MK

机构：

[1] Machine Intelligence Unit, Indian Statistical Institute, Calcutta, 700 035

来源：

PATTERN RECOGNITION LETTERS | 1994年 / 15卷 / 03期

关键词：

PATTERN RECOGNITION; IMAGE ENHANCEMENT; GENETIC ALGORITHMS; AMBIGUITY MEASURES;

D O I：

10.1016/0167-8655(94)90058-2

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Genetic algorithms represent a class of highly parallel adaptive search processes for solving a wide range of optimization and machine learning problems. The present work is an attempt to demonstrate their adaptivity and effectiveness for searching global optimal solutions in selecting an appropriate image enhancement operator automatically.

引用

页码：261 / 271

页数：11

共 9 条

[1] SCENE RECOGNITION USING GENETIC ALGORITHMS WITH SEMANTIC NETS [J].