rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Advances in Soft Computing and Machine Learning in Image Processing
  name:
    name part: Hassanien, Aboul Ella.
    role:
      role term: editor.
    role:
      role term: edt
    role:
      role term: http://id.loc.gov/vocabulary/relators/edt
  name:
    name part: Oliva, Diego Alberto.
    role:
      role term: editor.
    role:
      role term: edt
    role:
      role term: http://id.loc.gov/vocabulary/relators/edt
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: gw
    date issued: 2018
    edition: 1st ed. 2018.
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XII, 718 p. 309 illus., 195 illus. in color. online resource.
  abstract: 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 an overview of the application of these tools in image processing. The material has been compiled from a scientific perspective, and the book is primarily intended for undergraduate and postgraduate science, engineering, and computational mathematics students. It can also be used for courses on artificial intelligence, advanced image processing, and computational intelligence, and is a valuable resource for researchers in the evolutionary computation, artificial intelligence and image processing communities.
  table of contents: 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.
  note: edited by Aboul Ella Hassanien, Diego Alberto Oliva.
  subject:
    topic: Computational intelligence
  subject:
    topic: Artificial intelligence
  subject:
    topic: Signal processing
  subject:
    topic: Image processing
  subject:
    topic: Speech processing systems
  subject:
    topic: Computational Intelligence
  subject:
    topic: Artificial Intelligence
  subject:
    topic: Signal, Image and Speech Processing
  classification: Q342
  classification: 006.3
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: Studies in Computational Intelligence, 730
  identifier: 9783319637549
  identifier: https://doi.org/10.1007/978-3-319-63754-9
  record info:
    record creation date: 171014
    record change date: 20191220130533.0
    record identifier: 978-3-319-63754-9