Applications of Evolutionary Computation in Image Processing and Pattern Recognition

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...

Full description

Bibliographic Details
Main Authors: Cuevas, Erik (Author), Zaldívar, Daniel (Author), Perez-Cisneros, Marco (Author)
Corporate Author: SpringerLink (Online service)
Format: e-Book
Language:English
Published: Cham : Springer International Publishing : 2016.
Imprint: Springer,
Edition:1st ed. 2016.
Series:Intelligent Systems Reference Library, 100
Subjects:
Computational intelligence.
Artificial intelligence.
Signal processing.
Computer vision.
Mathematical optimization.
Calculus of variations.
Computational Intelligence.
Artificial Intelligence.
Signal, Speech and Image Processing.
Computer Vision.
Calculus of Variations and Optimization.
Online Access:Full-text access
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.

Similar Items