Color Image Segmentation Using Clonal Selection-Based Shuffled Frog Leaping Algorithm

Author

Bhaduri, Abhishek ; Bhaduri, Abhishek

fYear

2009

fDate

27-28 Oct. 2009

Firstpage

517

Lastpage

520

Abstract

In this paper, we address the problem of image segmentation using unsupervised clustering method. We implement two nature inspired memetic metaheuristics for segmenting images into regions. First, we use shuffled frog leaping algorithm (SFLA) to locate the optimal clusters for the images. We further use the clonal selection based shuffled frog leaping algorithm (CSSFLA) for segmenting the same images and compare the results. Clonal selection based shuffled frog leaping algorithm is a hybrid memetic algorithm based on SFLA and clonal selection algorithm (CSA). Lastly, we compare the results obtained from SFLA and CSFLA with k-means algorithm.

Keywords

image colour analysis; image recognition; image segmentation; optimisation; pattern clustering; clonal selection algorithm; color image segmentation; memetic metaheuristics; shuffled frog leaping algorithm; unsupervised clustering method; Artificial intelligence; Clustering algorithms; Clustering methods; Color; Communications technology; Computer vision; Image recognition; Image segmentation; Machine learning; Pattern recognition; Clonal Selection based Shuffled Frog Leaping Algorithm; Clustering; Color Image Segmentation; Memetic Algorithms; Shuffled Frog Leaping Algorithm;

fLanguage

English

Publisher

ieee

Conference_Titel

Advances in Recent Technologies in Communication and Computing, 2009. ARTCom '09. International Conference on

Conference_Location

Kottayam, Kerala

Print_ISBN

978-1-4244-5104-3

Electronic_ISBN

978-0-7695-3845-7

Type

conf

DOI

10.1109/ARTCom.2009.115

Filename

5329223