Image Texture Analysis Foundations, Models and Algorithms /

This useful textbook/reference presents an accessible primer on the fundamentals of image texture analysis, as well as an introduction to the K-views model for extracting and classifying image textures. Divided into three parts, the book opens with a review of existing models and algorithms for imag...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριοι συγγραφείς: Hung, Chih-Cheng (Συγγραφέας, http://id.loc.gov/vocabulary/relators/aut), Song, Enmin (http://id.loc.gov/vocabulary/relators/aut), Lan, Yihua (http://id.loc.gov/vocabulary/relators/aut)
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2019.
Έκδοση:1st ed. 2019.
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
Πίνακας περιεχομένων:
  • Part I: Existing Models and Algorithms for Image Texture
  • Image Texture, Texture Features, and Image Texture Classification and Segmentation
  • Texture Features and Image Texture Models
  • Algorithms for Image Texture Classification
  • Dimensionality Reduction and Sparse Representation
  • Part II: The K-Views Models and Algorithms
  • Basic Concept and Models of the K-Views
  • Using Datagram in the K-Views Model
  • Features-Based K-Views Model
  • Advanced K-Views Algorithms
  • Part III: Deep Machine Learning Models for Image Texture Analysis
  • Foundations of Deep Machine Learning in Neural Networks
  • Convolutional Neural Networks and Texture Classification.