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Hybrid Metaheuristics for Image Analysis

  • Siddhartha Bhattacharyya

Table of contents

  1. Front Matter
    Pages i-xii
  2. K. Martin Sagayam, D. Jude Hemanth, X. Ajay Vasanth, Lawerence E. Henesy, Chiung Ching Ho
    Pages 87-114
  3. B. K. Tripathy, T. R. Sooraj, R. K. Mohanty
    Pages 145-161
  4. S. Ivvan Valdez, Susana Espinoza-Perez, Fernando Cervantes-Sanchez, Ivan Cruz-Aceves
    Pages 163-186
  5. Anderson Carlos Sousa Santos, Helio Pedrini
    Pages 187-207
  6. Wellington Pinheiro dos Santos, Ricardo Emmanuel de Souza, Valter Augusto de Freitas Barbosa, Reiga Ramalho Ribeiro, Allan Rivalles Souza Feitosa, Victor Luiz Bezerra Araújo da Silva et al.
    Pages 209-251
  7. Back Matter
    Pages 253-256

About this book

Introduction

This book presents contributions in the field of computational intelligence for the purpose of image analysis. The chapters discuss how problems such as image segmentation, edge detection, face recognition, feature extraction, and image contrast enhancement can be solved using techniques such as genetic algorithms and particle swarm optimization.

The contributions provide a multidimensional approach, and the book will be useful for researchers in computer science, electrical engineering, and information technology.

Keywords

Hybrid Metaheuristics Soft Computing Image Analysis Image Thresholding Image Segmentation Evolutionary Computing Computational Intelligence

Editors and affiliations

  • Siddhartha Bhattacharyya
    • 1
  1. 1.Department of Computer ApplicationsRCC Institute of Information TechnologyKolkataIndia

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-77625-5
  • Copyright Information Springer International Publishing AG, part of Springer Nature 2018
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-319-77624-8
  • Online ISBN 978-3-319-77625-5
  • Buy this book on publisher's site
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