Applications of Evolutionary Computation in Image Processing and Pattern Recognition

• Main Authors: Cuevas, Erik (Author), Zaldívar, Daniel (Author), Perez-Cisneros, Marco (Author)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Cham : Springer International Publishing : Imprint: Springer, 2016.
• Series: Intelligent Systems Reference Library, 100
• Subjects: Engineering.; Artificial intelligence.; Image processing.; Calculus of variations.; Computational intelligence.; Computational Intelligence.; Artificial Intelligence (incl. Robotics).; Signal, Image and Speech Processing.; Image Processing and Computer Vision.; Calculus of Variations and Optimal Control; Optimization.

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...

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.