Skip to main content
padlock icon - secure page this page is secure

Which Distance Function Use in Non-Linear Image Processing for Spectral Images?

Buy Article:

$17.00 + tax (Refund Policy)

In a previous work, we developed a distance-based formalism adapted to image processing. In colour, this formalism is correlated to human perception using an adapted distance function. In this work, we extend this framework to multispectral domain. The goal is to construct an image processing formalism guided by a physical point of view. In this context, a suitable distance function between two spectra has to be specified and selected. In this paper, we specify essential characteristics of multivalued distance using two linear transformations. Different multivalued distance behaviours are compared using Gaussian distribution. Next we propose a modified distance using linear transforms. Then we compare the behaviours of different distances on real spectral images after morphological process.
No Reference information available - sign in for access.
No Citation information available - sign in for access.
No Supplementary Data.
No Article Media
No Metrics

Document Type: Research Article

Publication date: January 1, 2013

More about this publication?
  • CIC is the premier annual technical gathering for scientists, technologists, and engineers working in the areas of color science and systems, and their application to color imaging. Participants represent disciplines ranging from psychophysics, optical physics, image processing, color science to graphic arts, systems engineering, and hardware and software development. While a broad mix of professional interests is the hallmark of these conferences, the focus is color. CICs traditionally offer two days of short courses followed by three days of technical sessions that include three keynotes, an evening lecture, a vibrant interactive (poster) papers session, and workshops. An endearing symbol of the meeting is the Cactus Award, given each year to the author(s) of the best interactive paper; there are also Best Paper and Best Student Paper awards.

    Please note: for Purposes of its Digital Library content, IS&T defines Open Access as papers that will be downloadable in their entirety for free in perpetuity. Copyright restrictions on papers vary; see individual paper for details.

  • Information for Authors
  • Submit a Paper
  • Subscribe to this Title
  • Membership Information
  • Terms & Conditions
  • Ingenta Connect is not responsible for the content or availability of external websites
  • Access Key
  • Free content
  • Partial Free content
  • New content
  • Open access content
  • Partial Open access content
  • Subscribed content
  • Partial Subscribed content
  • Free trial content
Cookie Policy
Cookie Policy
Ingenta Connect website makes use of cookies so as to keep track of data that you have filled in. I am Happy with this Find out more