NDLI: Hidden tree-like quasi-Markov model and generalized technique for a class of image processing problems

Content Provider	IEEE Xplore Digital Library
Author	Mottl, V.V. Muchnik, I.B. Blinov, A.B. Kopylov, A.V.
Copyright Year	1996
Description	Author affiliation: Tula State Univ., Russia (Mottl, V.V.)
Abstract	Four problems of image processing, namely, those of smoothing. texture image segmentation, matching two images of similar structure, and building the local texture orientation map, are considered jointly as problems which can be treated as those of transforming the original image into another function on the image plane. We generalized statistical image processing procedure is aimed at finding a compromise between the local image-dependent information on the values of the hidden function at each pixel and the a priori information expressed in the form of some Markov smoothness constraints. For attaining a higher computation speed, instead of a full unitary prior Markov model of the hidden field, a compromise composite model is used which consists of a set of independent identical tree-like Markov neighborhood graphs.
Starting Page	715
Ending Page	719
File Size	670158
Page Count	5
File Format	PDF
ISBN	081867282X
ISSN	10514651
DOI	10.1109/ICPR.1996.546916
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1996-08-25
Publisher Place	Austria
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image processing Smoothing methods Buildings Brightness Operations research Image segmentation Pixel Tree graphs Image texture analysis Data mining
Content Type	Text
Resource Type	Article
Subject	Computer Vision and Pattern Recognition

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