DocumentCode
1893543
Title
Classification of images using spatial random trees
Author
Wang, W. ; Pollak, I. ; Bouman, C.A. ; Harper, M.P.
Author_Institution
Sch. of Electr. & Comput. Eng., Purdue Univ., West Lafayette, IN
fYear
2005
fDate
17-20 July 2005
Firstpage
449
Lastpage
452
Abstract
In this paper a new methodology for constructing hierarchical stochastic image models called spatial random trees (SRTs) is described. The models are stochastic processes on trees with each leaf corresponding to a single pixel. The key innovation is that the tree structure itself is random and is generated by a probabilistic grammar. Important application of this method is its wide usage in natural language processing
Keywords
image classification; natural languages; stochastic processes; trees (mathematics); SRT model; image classification; natural language processing; probabilistic grammar; spatial random tree; stochastic image construction; Classification tree analysis; Costs; Dictionaries; Hidden Markov models; Natural language processing; Optical character recognition software; Production; Stochastic processes; Technological innovation; Tree data structures;
fLanguage
English
Publisher
ieee
Conference_Titel
Statistical Signal Processing, 2005 IEEE/SP 13th Workshop on
Conference_Location
Novosibirsk
Print_ISBN
0-7803-9403-8
Type
conf
DOI
10.1109/SSP.2005.1628637
Filename
1628637
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