A Study on Metaheuristic-Based Neural Networks for Image Segmentation Purposes

Navid Razmjooy, Vania Vieira Estrela, Hermes José Loschi

Research output: Chapter in Book/Report/Conference proceedingChapterAcademicpeer-review

Abstract

Image segmentation is one of the most important tasks of visual machine and image processing that helps to recognize the pattern. Grouping of the pixels of an image helps to understand it. One of the successful methods for segmentation of the complicated images is artificial neural networks. Artificial neural networks are a subset of data science that can be used to extract significant data from the image. There are different methods that are proposed for the development of neural networks. The purpose of this chapter is to study different evolutionary algorithms for optimizing neural networks in different ways for image segmentation purposes.
Original languageEnglish
Title of host publicationData Science
Subtitle of host publicationA Study on Metaheuristic-Based Neural Networks for Image Segmentation Purposes
Chapter2
DOIs
Publication statusPublished - 26 Sep 2019
Externally publishedYes

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