Applications of Evolutionary Computation in Image Processing and Pattern Recognition

Applications of Evolutionary Computation in Image Processing and Pattern Recognition by Erik Cuevas, Daniel Zaldívar, Marco Perez-Cisneros.

This book presents the use of efficient Evolutionary Computation (EC) algorithms for solving diverse real-world image processing and pattern recognition problems. It provides an overview of the different aspects of evolutionary methods in order to enable the reader in reaching a global understanding...

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Bibliographic Details
Main Authors: Cuevas, Erik (Author), Zaldívar, Daniel (Author), Perez-Cisneros, Marco (Author)
Corporate Author: SpringerLink (Online service)
Format: eBook
Language:English
Published: Cham : Springer International Publishing : Imprint: Springer, 2016.
Edition:1st ed. 2016.
Series:Intelligent Systems Reference Library, 100
Springer eBook Collection.
Subjects:
Computational intelligence.
Artificial intelligence.
Signal processing.
Image processing.
Speech processing systems.
Optical data processing.
Calculus of variations.
Electronic resources (E-books)
Online Access:Click to view e-book
Holy Cross Note:Loaded electronically.
Electronic access restricted to members of the Holy Cross Community.
Table of Contents:
  • Introduction
  • Image Segmentation Based on Differential Evolution Optimization.-Motion Estimation Based on Artificial Bee Colony (ABC)
  • Ellipse Detection on Images Inspired by the Collective Animal Behavior
  • Template Matching by Using the States of Matter Algorithm
  • Estimation of Multiple View Relations Considering Evolutionary Approaches
  • Circle Detection on Images Based on an Evolutionary Algorithm that Reduces the Number of Function Evaluations
  • Otsu and Kapur Segmentation Based on Harmony Search Optimization
  • Leukocyte Detection by Using Electromagnetism-Like Optimization
  • Automatic Segmentation by Using an Algorithm Based on the Behavior of Locust Swarms.

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