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A modular integration and multiresolution framework for image interpretation

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Title A modular integration and multiresolution framework for image interpretation
 
Creator KUMAR, KS
DESAI, UB
 
Subject markov random-field
model
modular integration
multiresolution framework
image interpretation
markov random field
 
Description In this paper, we give a generalized formulation for a vision problem in the framework of modular integration and multiresolution. The developed framework is used to solve the high-level vision problem of scene interpretation. The formulation essentially involves the concept of reductionism and multiresolution, where the given vision task V is broken down into simpler subtasks V-1, V-2,..., V-m. Moreover, instead of solving the vision task V-Ohm = V at the finest resolution Ohm, we solve the synergetically coupled vision subtasks at coarser resolutions VOhm-N for Ohm greater than or equal to N > 0 and use the results obtained at resolution (Ohm - N) to solve VOhm-N+1, the vision task at resolution (Ohm-N+1). Image interpretation is a two-phased analysis problem where some salient features or objects in an image are identified by segmenting the image and the objects in the segmented image are interpreted based on their spatial relationships. We present a solution to the joint segmentation and interpretation problem in the proposed generalized framework. For the interpretation part we exploit the Markov Random Field (MRF) based image interpretation scheme developed by Modestino and Zhang. Experimental results on both indoor and outdoor images are presented to validate the proposed framework.
 
Publisher INDIAN ACADEMY SCIENCES
 
Date 2011-08-02T00:01:30Z
2011-12-26T12:53:33Z
2011-12-27T05:39:58Z
2011-08-02T00:01:30Z
2011-12-26T12:53:33Z
2011-12-27T05:39:58Z
1998
 
Type Article
 
Identifier SADHANA-ACADEMY PROCEEDINGS IN ENGINEERING SCIENCES, 23(), 281-302
0256-2499
http://dx.doi.org/10.1007/BF02745743
http://dspace.library.iitb.ac.in/xmlui/handle/10054/8582
http://hdl.handle.net/10054/8582
 
Language en