Grayscale Image Enhancement Using Improved Cuckoo Search Algorithm

被引：0
|
作者：
Arora, Samiksha [1 ]
Kaur, Prabhpreet [1 ]
机构：
[1] Guru Nanak Dev Univ, Amritsar 143001, Punjab, India
来源：
PROGRESS IN INTELLIGENT COMPUTING TECHNIQUES: THEORY, PRACTICE, AND APPLICATIONS, VOL 1 | 2018年 / 518卷
关键词：
Image enhancement; Cuckoo search; Meta-heuristics; Gauss distribution; Improved cuckoo search algorithm;
D O I：
10.1007/978-981-10-3373-5_13
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Meta-heuristic algorithms have been proved to play a significant role in the automatic image enhancement domain which can be regarded as an optimization question. Cuckoo search algorithm is one such algorithm which uses Levy flight distribution to find out the optimized parameters affecting the enhanced image. In this paper, improved cuckoo search algorithm is proposed which is used to achieve the better optimized results. The proposed method is implemented on some test images, and results are compared with original cuckoo search algorithm.
引用
收藏
页码：141 / 148
页数：8
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