14.4.2 Syntactic Methods for Region Segmentation

Chapter Contents (Back)
Segmentation. Syntactic.

Narasimhan, R.,
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Narasimhan, R.,
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Narasimhan, R.,
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Reddy, V.S.N., Narasimhan, R.,
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Baird, M.L.[Michael L.], Kelly, M.D.[Michael D.],
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Thomason, M.G.,
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Fung, L.W., and Fu, K.S.,
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And:
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Fu, K.S., Booth, T.L.,
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Aleksander, I.,
Emergent Intelligent Properties of Progressively Structured Pattern Recognition Nets,
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Pathak, A., Pal, S.K., King, R.A.,
Syntactic Recognition of Skeletal Maturity,
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Don, H.S.[Hon-Son], Fu, K.S.[King-Sun],
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Don, H.S.[Hon-Son], Fu, K.S.[King-Sun],
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PR(18), No. 1, 1985, pp. 73-87.
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Earlier: ICPR84(1380-1382). Segmentation and recognition. SAR application. BibRef

Don, H.S.[Hon-Son],
Stochastic Image Segmentation Using Spatial-Temporal Context,
ICPR88(I: 342-344).
IEEE DOI BibRef 8800

Chiang, Y.T., and Fu, K.S.,
Parallel Parsing Algorithms and VLSI Implementation for Syntactic Pattern Recognition,
PAMI(6), No. 3, May 1984, pp. 302-313. BibRef 8405

Huang, K.Y.[Kou-Yuan], Fu, K.S.[King-Sun],
Syntactic Pattern Recognition for the Recognition of Bright Spots,
PR(18), No. 6, 1985, pp. 421-428.
Elsevier DOI Seismic traces. BibRef 8500

Cheng, H.D., Lin, W.C., Fu, K.S.[King-Sun],
Space-Time Domain Expansion Approach to VLSI and Its Application to Hierarchical Scene Matching,
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Earlier: ICPR84(578-580). BibRef

Basu, S., Fu, K.S.,
Image Segmentation By Syntactic Method,
PR(20), No. 1, 1987, pp. 33-44.
Elsevier DOI Edges, curves, corners. BibRef 8700

Basu, S.,
Image Segmentation By Semantic Method,
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Basu, S.,
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Straub, B.J., Blanz, W.E.,
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Huang, T.S., and Fu, K.S.,
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Janmin, K.[Kang],
Syntactic Algorithms for Image Segmentation and a Special Computer Architecture for Image Processing,
PurdueTR-77-39, December 1977. Syntactic: structural or spatial analysis rather than statistical, and a grammar is inferred to describe structures of patterns in an image. Syntax directed: syntactic analysis is performed by a template matching which is directed by the syntactic rules. Syntax controlled: an automaton (e.g., a parser, deterministic F.S.M.) (??) which is directly controlled by the syntactic rules is used for the syntactic analysis. Tree grammar; structural properties of subpatterns (size, shape arrangement). BibRef 7712

Shi, Q.Y., and Fu, K.S.,
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Shi, Q.Y., and Fu, K.S.,
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Lucas, S., Amiri, A.,
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Sinha, R.M.K.,
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PR(16), No. 4, 1983, pp. 373-383.
Elsevier DOI 9611
curvilinear elements. BibRef

Mohr, R.[Roger],
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Henderson, T.C.[Thomas C.], Samal, A.[Ashok],
Shape Grammar Compilers,
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Bengtsson, M.,
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Biswas, G., Dubes, R.C.,
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Araujo, C.P.S.,
Novel Neural-Network Models for Computing Homothetic Invariances: An Image Algebra Notation,
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Sanfeliu, A.,
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PRL(18), No. 4, April 1997, pp. 403-406. 9708
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Wang, W., Pollak, I., Wong, T.S., Bouman, C.A., Harper, M.P., Siskind, J.M.,
Hierarchical Stochastic Image Grammars for Classification and Segmentation,
IP(15), No. 10, October 2006, pp. 3033-3052.
IEEE DOI 0609
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Zhu, S.C.[Song-Chun], Mumford, D.[David],
A Stochastic Grammar of Images,
World ScientificSingapore, 2007. ISBN: 978-1-60198-060-1. BibRef 0700


Siddiqi, K.[Kaleem], Kimia, B.B.[Benjamin B.],
A Shock Grammar for Recognition,
CVPR96(507-513).
IEEE DOI MAT. BibRef 9600

Truve, S.,
Image Interpretation Using Multi-Relational Grammars,
ICCV90(146-155).
IEEE DOI BibRef 9000

Sanfeliu, A., Serratosa, F.,
Learning and recognising 3d models represented by multiple views by means of methods based on random graphs,
ICIP03(II: 29-32).
IEEE DOI 0312
BibRef

Sanfeliu, A., Sainz, M.,
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ICPR96(IV: 565-569).
IEEE DOI 9608
(Univ. Politecnica de Catalunya, E) BibRef

Fred, A.L.N., Leitao, J.M.N.,
A Minimum Code Length Technique for Clustering of Syntactic Patterns,
ICPR96(II: 680-684).
IEEE DOI 9608
(Instituto de Telecomunicacoes, P) BibRef

Fred, A.L.N., Leitao, J.M.N.,
Solomonoff coding as a means of introducing prior information in syntactic pattern recognition,
ICPR94(B:14-18).
IEEE DOI 9410
BibRef
Earlier:
Use of stochastic grammars for hypnogram analysis,
ICPR92(II:242-245).
IEEE DOI 9208
BibRef

Keng, J.,
Syntactic algorithms for image segmentation and a special computer architecture for image processing,
Ph.D.Thesis, December 1977. Purdue University, West Lafayette, IN. BibRef 7712

Chapter on Pattern Recognition, Clustering, Statistics, Grammars, Learning, Neural Nets, Genetic Algorithms continues in
Decision Trees .


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