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: Image Fusion
    sub title: Theories, Techniques and Applications
  name:
    name part: Mitchell, H. B.
    role:
      role term: creator
    role:
      role term: author.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: gw
    date issued: 2010
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XVI, 247 p. online resource.
  abstract: This textbook provides a comprehensive introduction to the theories, techniques and applications of image fusion. It is aimed at advanced undergraduate and first-year graduate students in electrical engineering and computer science. It should also be useful to practicing engineers who wish to learn the concepts of image fusion and use them in real-life applications. The book is intended to be self-contained. No previous knowledge of image fusion is assumed, although some familiarity with elementary image processing and the basic tools of linear algebra is recommended. The book may also be used as a supplementary text for a course on advanced image processing. Apart from two preliminary chapters, the book is divided into three parts. Part I deals with the conceptual theories and ideas which underlie image fusion. Particular emphasis is given to the concept of a common representational framework and includes detailed discussions on the techniques of image registration, radiometric calibration and semantic equivalence. Part II deals with a wide range of techniques and algorithms which are in common use in image fusion. Among the topics considered are: sub-space transformations, multi-resolution analysis, wavelets, ensemble learning, bagging, boosting, color spaces, image thresholding, Markov random fields, image similarity measures and the expectation-maximization algorithm. Together Parts I and II form an integrated and comprehensive overview of image fusion. Part III deals with applications. In it several real-life examples of image fusion are examined in detail, including panchromatic sharpening, ensemble color image segmentation and the Simultaneous Truth and Performance algorithm of Warfield et al. The book is accompanied by a webpage from which supplementary material may be obtained. This includes support for course instructors and links to relevant matlab code.
  table of contents: Image Sensors -- I: Theories -- Common Representational Format -- Spatial Alignment -- Semantic Equivalence -- Radiometric Calibration -- Pixel Fusion -- II: Techniques -- Multi-resolution Analysis -- Image Sub-space Techniques -- Ensemble Learning -- Re-sampling Methods -- Image Thresholding -- Image Key Points -- Image Similarity Measures -- Vignetting, White Balancing and Automatic Gain Control Effects -- Color Image Spaces -- Markov Random Fields -- Image Quality -- III: Applications -- Pan-sharpening -- Ensemble Color Image Segmentation -- STAPLE: Simultaneous Truth and Performance Level Estimation -- Biometric Technologies.
  note: by H. B. Mitchell.
  subject:
    topic: Engineering
  subject:
    topic: Artificial intelligence
  subject:
    topic: Image processing
  subject:
    topic: Applied mathematics
  subject:
    topic: Engineering mathematics
  subject:
    topic: Computational intelligence
  subject:
    topic: Engineering
  subject:
    topic: Signal, Image and Speech Processing
  subject:
    topic: Image Processing and Computer Vision
  subject:
    topic: Artificial Intelligence (incl. Robotics)
  subject:
    topic: Computational Intelligence
  subject:
    topic: Applications of Mathematics
  classification: TK5102.9
  classification: TA1637-1638
  classification: TK7882.S65
  classification: 621.382
  related item:
    title info:
      title: Springer eBooks
  identifier: 9783642112164
  identifier: http://dx.doi.org/10.1007/978-3-642-11216-4
  record info:
    record creation date: 100315
    record change date: 20151204170458.0
    record identifier: 978-3-642-11216-4