Gray Level Image Enhancement Using Cuckoo Search Algorithm

被引：8

作者：

Ghosh, Soham ^{[1
]}

Roy, Sourya ^{[1
]}

Kumar, Utkarsh ^{[1
]}

Mallick, Arijit ^{[1
]}

机构：

[1] Jadavpur Univ, Dept Instrumentat & Elect Engn, Salt Lake Campus,LB-8,Sect 3, Kolkata, W Bengal, India

来源：

ADVANCES IN SIGNAL PROCESSING AND INTELLIGENT RECOGNITION SYSTEMS | 2014年 / 264卷

关键词：

Cuckoo Search Optimization; Edgels; Enhancement; Image fitness; Levy flight; Metaheuristic Algorithm;

D O I：

10.1007/978-3-319-04960-1_25

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this work we have assessed the capability of a new optimization algorithm - the Cuckoo Search algorithm in tuning the image enhancement functions for peak performance. The assessment has been conducted in comparison to two of the old optimization algorithm aided enhancement, namely, Genetic Algorithms and Particle Swarm Optimization and previous enhancement techniques Histogram Equalization and Linear Contrast Stretch techniques. Results have been assimilated in this paper and conclusions have been drawn keeping the fitness of image and number of edgels in enhanced image as the benchmark. The results have illustrated the capability of Cuckoo search algorithm in optimizing the enhancement functions.

引用

页码：275 / 286

页数：12

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