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: Hexagonal Image Processing
    sub title: A Practical Approach
  name:
    name part: Middleton, Lee.
    role:
      role term: creator
    role:
      role term: author.
  name:
    name part: Sivaswamy, Jayanthi.
    role:
      role term: author.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: xxk
    date issued: 2005
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XIII, 254 p. online resource.
  abstract: Hexagonal Image Processing provides an introduction to the processing of hexagonally sampled images, includes a survey of the work done in the field, and presents a novel framework for hexagonal image processing (HIP) based on hierarchical aggregates. Digital image processing is currently dominated by the use of square sampling lattices, however, hexagonal sampling lattices can also be used to define digital images. The strengths offered by hexagonal lattices over square lattices are considerable: • higher packing density, • uniform connectivity of points (pixels) in the lattice, • better angular resolution by virtue of having more nearest neighbours, and • superlative representation of curves. The utility of the HIP framework is demonstrated by implementing several basic image processing techniques (for the spatial and frequency domain) and some applications. The HIP framework serves as a tool for comparing processing of images defined on a square vs hexagonal grid, to determine their relative merits and demerits. The theory and algorithms covered are supplemented by attention to practical details such as accommodating hardware that support only images sampled on a square lattice. Including a Foreword written by Professor Narendra Ahuja, an eminent researcher in the field of Image Processing and Computer Vision, the book’s fresh approach to the subject offers insight and workable know-how to both researchers and postgraduates.
  table of contents: Current approaches to vision -- The Proposed HIP Framework -- Image processing within the HIP framework -- Applications of the HIP framework -- Practical aspects of hexagonal image processing -- Processing images on square and hexagonal grids - a comparison -- Conclusion.
  note: by Lee Middleton, Jayanthi Sivaswamy.
  subject:
    topic: Physics
  subject:
    topic: Computer graphics
  subject:
    topic: Image processing
  subject:
    topic: Multimedia systems
  subject:
    topic: Optics
  subject:
    topic: Optoelectronics
  subject:
    topic: Plasmons (Physics)
  subject:
    topic: Physics
  subject:
    topic: Optics, Optoelectronics, Plasmonics and Optical Devices
  subject:
    topic: Image Processing and Computer Vision
  subject:
    topic: Computer Imaging, Vision, Pattern Recognition and Graphics
  subject:
    topic: Media Design
  classification: QC350-467
  classification: TA1501-1820
  classification: QC392-449.5
  classification: TA1750-1750.22
  classification: 621.36
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: Advances in Pattern Recognition
  identifier: 9781846282034
  identifier: http://dx.doi.org/10.1007/1-84628-203-9
  record info:
    record creation date: 100301
    record change date: 20151204153831.0
    record identifier: 978-1-84628-203-4