Metaheuristic Algorithms for Image Segmentation: Theory and Applications

This book presents a study of the most important methods of image segmentation and how they are extended and improved using metaheuristic algorithms. The segmentation approaches selected have been extensively applied to the task of segmentation (especially in thresholding), and have also been implem...

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Detaylı Bibliyografya
Asıl Yazarlar: Oliva, Diego (Yazar), Abd Elaziz, Mohamed (Yazar), Hinojosa, Salvador (Yazar)
Müşterek Yazar: SpringerLink (Online service)
Materyal Türü: e-Kitap
Dil:İngilizce
Baskı/Yayın Bilgisi: Cham : Springer International Publishing : 2019.
Imprint: Springer,
Edisyon:1st ed. 2019.
Seri Bilgileri:Studies in Computational Intelligence, 825
Konular:
Computational intelligence.
Artificial intelligence.
Signal processing.
Computational Intelligence.
Artificial Intelligence.
Signal, Speech and Image Processing.
Online Erişim:Full-text access
İçindekiler:
  • Introduction
  • Optimization
  • Metaheuristic optimization
  • Image processing
  • Image Segmentation using metaheuristics
  • Multilevel thresholding for image segmentation based on metaheuristic Algorithms
  • Otsu's between class variance and the tree seed algorithm
  • Image segmentation using Kapur's entropy and a hybrid optimization algorithm
  • Tsallis entropy for image thresholding
  • Image segmentation with minimum cross entropy
  • Fuzzy entropy approaches for image segmentation
  • Image segmentation by gaussian mixture
  • Image segmentation as a multiobjective optimization problem
  • Clustering algorithms for image segmentation
  • Contextual information in image thresholding.

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