DocumentCode
327748
Title
Variational methods in signal and image analysis
Author
Mottl, Vadim ; Blinov, Alexander ; Kopylov, Andrey ; Kostin, Alexey ; Muchnik, Ilya
Author_Institution
Tula State Univ., Russia
Volume
1
fYear
1998
fDate
16-20 Aug 1998
Firstpage
525
Abstract
A class of signal and image processing problems is considered from the standpoint of treating them as those of coordinating the local data-dependent information and model-based smoothness constraints. Such a generalized problem is set as the formal problem of minimization of a separable objective function defined on an appropriate neighborhood graph of data array elements
Keywords
graph theory; image processing; minimisation; variational techniques; data array elements; image analysis; image processing; local data-dependent information; model-based smoothness constraints; neighborhood graph; separable objective function minimization; signal analysis; signal processing; variational methods; Computer science; Data analysis; Decision making; Image analysis; Image processing; Image texture analysis; Lattices; Mathematics; Signal analysis; Signal processing;
fLanguage
English
Publisher
ieee
Conference_Titel
Pattern Recognition, 1998. Proceedings. Fourteenth International Conference on
Conference_Location
Brisbane, Qld.
ISSN
1051-4651
Print_ISBN
0-8186-8512-3
Type
conf
DOI
10.1109/ICPR.1998.711196
Filename
711196
Link To Document