Advances and Applications of Optimised Algorithms in Image Processing

This book presents a study of the use of optimization algorithms in complex image processing problems. The problems selected explore areas ranging from the theory of image segmentation to the detection of complex objects in medical images. Furthermore, the concepts of machine learning and optimizati...

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Bibliographic Details
Main Authors: Oliva, Diego (Author), Cuevas, Erik (Author)
Corporate Author: SpringerLink (Online service)
Format: e-Book
Language:English
Published: Cham : Springer International Publishing : 2017.
Imprint: Springer,
Edition:1st ed. 2017.
Series:Intelligent Systems Reference Library, 117
Subjects:
Computational intelligence.
Signal processing.
Artificial intelligence.
Computational Intelligence.
Signal, Speech and Image Processing.
Artificial Intelligence.
Online Access:Full-text access
Table of Contents:
  • An introduction to machine learning
  • Optimization
  • Electromagnetism - Like Optimization Algorithm: An Introduction
  • Digital image segmentation as an optimization problem
  • Template matching using a physical inspired algorithm.-Detection of circular shapes in digital images
  • A medical application: Blood cell segmentation by circle detection
  • An EMO Improvement: Opposition-Based Electromagnetism-Like for Global Optimization.

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