An integration scheme for image segmentation and labeling based on markov random field model

This paper presents a unified approach for the image understanding problem based on the MRF models. In the proposed scheme, the image segmentation and interpretation processes cooperate in the simultaneous optimization process so that the erroneous segmentation and misinterpretation can be compensately recovered by continuous estimation of the unified energy function. © 1996 IEEE.
Publisher
Institute of Electrical and Electronics Engineers
Issue Date
1996
Language
ENG
Citation

IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, v.18, no.1, pp.69 - 73

ISSN
0162-8828
URI
http://hdl.handle.net/10203/339
Appears in Collection
CS-Journal Papers(저널논문)
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