DocumentCode :
506892
Title :
Improved Local Binary Pattern Based Gas/Liquid Two-Phase Flow Regimes Analysis
Author :
Wenyin, Zhang ; Ningde, Jin
Author_Institution :
Sch. of Electr. Eng. & Autom., Tianjin Univ., Tianjin, China
Volume :
1
fYear :
2009
fDate :
14-16 Aug. 2009
Firstpage :
202
Lastpage :
206
Abstract :
A method to analyze gas/liquid two-phase flow regimes based on the Improved Local Binary Patterns (ILBP) is proposed in this paper. The method constructs Texture Pattern Matrix (TPM) based on the ILBP, and five statistic features are extracted from the TPM for the flow regimes analysis. Experimental results demonstrate that the proposed method improves performance both in efficiency and effectiveness in the analysis of flow regimes. It can provide reliable reference for other indirect measurement information used to analyze flow patterns by right of its own physical objectivity.
Keywords :
flow visualisation; image texture; two-phase flow; ILBP based gas-liquid flow analysis; flow regime analysis; improved local binary pattern; texture pattern matrix construction; Data mining; Digital images; Feature extraction; Fluid flow; Fuzzy systems; Image analysis; Image texture analysis; Information analysis; Pattern analysis; Stochastic processes;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Fuzzy Systems and Knowledge Discovery, 2009. FSKD '09. Sixth International Conference on
Conference_Location :
Tianjin
Print_ISBN :
978-0-7695-3735-1
Type :
conf
DOI :
10.1109/FSKD.2009.729
Filename :
5358620
Link To Document :
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