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...

Ful tanımlama

Detaylı Bibliyografya
Asıl Yazarlar: Cuevas, Erik (Yazar), Zaldívar, Daniel (Yazar), Perez-Cisneros, Marco (Yazar)
Müşterek Yazar: SpringerLink (Online service)
Materyal Türü: e-Kitap
Dil:İngilizce
Baskı/Yayın Bilgisi: Cham : Springer International Publishing : 2016.
Imprint: Springer,
Edisyon:1st ed. 2016.
Seri Bilgileri:Intelligent Systems Reference Library, 100
Konular:
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 Erişim:Full-text access
İçindekiler:
  • 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.

Benzer Materyaller