Fuzzy-entropy based image congealing

Neil Mac Parthaláin, Harry Strange

Allbwn ymchwil: Pennod mewn Llyfr/Adroddiad/Trafodion CynhadleddTrafodion Cynhadledd (Nid-Cyfnodolyn fathau)


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.

Iaith wreiddiolSaesneg
TeitlFUZZ-IEEE 2013 - 2013 IEEE International Conference on Fuzzy Systems
Dynodwyr Gwrthrych Digidol (DOIs)
StatwsCyhoeddwyd - 08 Hyd 2013
DigwyddiadFuzzy Systems - Hyderabad, Hyderabad, India
Hyd: 07 Gorff 201310 Gorff 2013
Rhif y gynhadledd: 22

Cyfres gyhoeddiadau

EnwIEEE International Conference on Fuzzy Systems
ISSN (Argraffiad)1098-7584


CynhadleddFuzzy Systems
Teitl crynoFUZZ-IEEE-2013
Cyfnod07 Gorff 201310 Gorff 2013

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