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Periodicity estimation of Dynamic Textures

journal contribution
posted on 2017-12-06, 00:00 authored by K Bijon, A Hasan, Ashfaqur RahmanAshfaqur Rahman, M Murshed
Dynamic Textures (DTs) arc image sequences of natural events like fire, smoke, water etc., that possesses regular motion patterns. Periodicity is a widely used tool to analyse regular structures of periodic one dimensional signals as well as two dimensional image textures. In this paper we present a technique to compute periodicity of regular motion patterns of DT. The proposed technique is based on co-occurrence matrix calculation - another commonly used tool in image texture analysis. Experimental results demonstrate the ability of the proposed technique to categorise the DT in terms of their periodicity and achieving good classification results using computedperiods.

Funding

Category 1 - Australian Competitive Grants (this includes ARC, NHMRC)

History

Volume

1

Issue

3-4

Start Page

414

End Page

423

Number of Pages

10

eISSN

1741-8070

Location

United Kingdom

Publisher

Inderscience Publishers

Language

en-aus

Peer Reviewed

  • Yes

Open Access

  • No

External Author Affiliations

American International University-Bangladesh; Monash University; Not affiliated to a Research Institute;

Era Eligible

  • Yes

Journal

International journal of information and communication technology.

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