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: Feature extraction and image processing for computer vision
  name:
    name part: Nixon, Mark S.
    role:
      role term: creator
  name:
    name part: Aguado, Alberto S.
  name:
    name part: ScienceDirect (Online service)
  type of resource: text
  genre: bibliography
  genre: Electronic books.
  origin info:
    place:
      place term: xx
    place:
      place term: Place of publication not identified]
    publisher: Academic Press
    date issued: 2020
    edition: 4th ed.
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 online resource
  abstract: "Feature Extraction for Image Processing and Computer Vision is an essential guide to the implementation of image processing and computer vision techniques, with tutorial introductions and sample code in MATLAB and Python. Algorithms are presented and fully explained to enable complete understanding of the methods and techniques demonstrated. As one reviewer noted, ""The main strength of the proposed book is the link between theory and exemplar code of the algorithms."" Essential background theory is carefully explained. This text gives students and researchers in image processing and computer vision a complete introduction to classic and state-of-the art methods in feature extraction together with practical guidance on their implementation. The only text to concentrate on feature extraction with working implementation and worked through mathematical derivations and algorithmic methods A thorough overview of available feature extraction methods including essential background theory, shape methods, texture and deep learning Up to date coverage of interest point detection, feature extraction and description and image representation (including frequency domain and colour) Good balance between providing a mathematical background and practical implementation Detailed and explanatory of algorithms in MATLAB and Python".
  note: Mark S. Nixon, Alberto S. Aguado.
  note: Includes bibliographical references and index.
  subject:
    topic: Computer vision
  subject:
    topic: Computer vision
    topic: Mathematics
  subject:
    topic: Pattern recognition systems
  subject:
    topic: Image processing
    topic: Digital techniques
  subject:
    topic: Vision par ordinateur
  subject:
    topic: Vision par ordinateur
    topic: Mathématiques
  subject:
    topic: Reconnaissance des formes (Informatique)
  subject:
    topic: Traitement d'images
    topic: Techniques numériques
  subject:
    topic: digital imaging
  subject:
    topic: Computer vision
  subject:
    topic: Image processing
    topic: Digital techniques
  subject:
    topic: Pattern recognition systems
  classification: TA1634
  classification: 006.37
  related item:
    identifier: (OCoLC)1085211122
  identifier: 9780128149775
  identifier: 0128149779
  identifier: 9780128149768
  identifier: 0128149760
  identifier: 9780128149775 Ingram Content Group
  identifier: 9780128149775 O'Reilly Media
  identifier: http://proxy.library.tamu.edu/login
  record info:
    record content source: YDX
    record creation date: 191125
    record change date: 20260327163818.5
    record identifier: in00005765710
    language of cataloging:
      language term: eng