Advances in Soft Computing and Machine Learning in Image Processing

This book is a collection of the latest applications of methods from soft computing and machine learning in image processing. It explores different areas ranging from image segmentation to the object recognition using complex approaches, and includes the theory of the methodologies used to provide a...

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Detaylı Bibliyografya
Müşterek Yazar: SpringerLink (Online service)
Diğer Yazarlar: Hassanien, Aboul Ella (Editör), Oliva, Diego Alberto (Editör)
Materyal Türü: e-Kitap
Dil:İngilizce
Baskı/Yayın Bilgisi: Cham : Springer International Publishing : Imprint: Springer, 2018.
Edisyon:1st ed. 2018.
Seri Bilgileri:Studies in Computational Intelligence, 730
Konular:
Computational intelligence.
Artificial intelligence.
Signal processing.
Computational Intelligence.
Artificial Intelligence.
Signal, Speech and Image Processing.
Online Erişim:Full-text access
OPAC'ta görüntüle
İçindekiler:
  • Color Spaces Advantages and Disadvantages in Image Color Clustering Segmentation
  • Multi-objective Whale Optimization Algorithm for Multi-level Thresholding Segmentation
  • Evaluating Swarm Optimization Algorithms for Segmentation of Liver Images
  • Thermal Image Segmentation Using Evolutionary Computation Techniques
  • News Videos Segmentation Using Dominant Colors Representation.

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