Image Segmentation Using Metaheuristics

Diego Oliva, Mohamed Abd Elaziz, Salvador Hinojosa

Research output: Chapter in Book/Report/Conference proceedingChapter

1 Citation (Scopus)

Abstract

The image segmentation is considered one of the most popular pre-processing in image processing and computer vision. It aims to partition the image into different regions which have the same properties such as color, texture, shape, and others. There are several image segmentation methods proposed to achieve this task, which include the traditional and other global methods. In this chapter, we present a review of the most popular three image segmentation methods called clustering, edge, region growing. In addition, the advantage and limitations of each method is discussed with some recommendation to be used these methods in future works are given.

Original languageEnglish
Title of host publicationStudies in Computational Intelligence
PublisherSpringer Verlag
Pages47-58
Number of pages12
DOIs
Publication statusPublished - 2019
Externally publishedYes

Publication series

NameStudies in Computational Intelligence
Volume825
ISSN (Print)1860-949X

ASJC Scopus subject areas

  • Artificial Intelligence

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