Fuzzy-entropy based image congealing

Neil Mac Parthaláin, Harry Strange

Research output: Chapter in Book/Report/Conference proceedingConference Proceeding (Non-Journal item)

3 Citations (SciVal)

Abstract

Group-wise image alignment or image congealing is an image processing technique which allows the joint alignment of a collection of images. Typically, information theoretic metrics have been employed as the objective function for the assessment of the process of alignment of the images for such methods. However, these objective functions rely on their probabilistic foundations and cannot model the underlying vagueness or uncertainty that is captured by approaches such as those based on fuzzy sets. In this paper a novel fuzzy-entropy based approach is presented for the task of image congealing. This approach allows for much flexibility in terms of employing different definitions for both similarity and fuzzy-entropy. Indeed, the existing approach for image congealing is subsumed as a special case of the approach proposed in this paper. The novel fuzzy-entropy congealing technique is applied to different benchmark problems and also to a medical imaging dataset with good results.

Original languageEnglish
Title of host publicationFUZZ-IEEE 2013 - 2013 IEEE International Conference on Fuzzy Systems
DOIs
Publication statusPublished - 08 Oct 2013
EventFuzzy Systems - Hyderabad, Hyderabad, India
Duration: 07 Jul 201310 Jul 2013
Conference number: 22

Publication series

NameIEEE International Conference on Fuzzy Systems
ISSN (Print)1098-7584

Conference

ConferenceFuzzy Systems
Abbreviated titleFUZZ-IEEE-2013
Country/TerritoryIndia
CityHyderabad
Period07 Jul 201310 Jul 2013

Keywords

  • Fuzzy sets
  • Fuzzy-entropy
  • Image alignment
  • Image processing

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