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
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;
Conference_Titel :
Statistical Signal Processing, 2005 IEEE/SP 13th Workshop on
Conference_Location :
Novosibirsk
Print_ISBN :
0-7803-9403-8
DOI :
10.1109/SSP.2005.1628637
