Texture Analysis via Data Mining
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F03%3APU42646" target="_blank" >RIV/00216305:26230/03:PU42646 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Texture Analysis via Data Mining
Original language description
This paper deals with an idea of the use of data mining approach in texture analysis. A new method based on association rules is proposed. This approach extracts texture primitives from an image texture and describes mutual relationships between these primitives. Within this method, a technique for feature vector construction without a priori knowledge of textures different from the analyzed one is presented. The Fisher criterion was used to measure an ability of the proposed method for successful discrrimination of pairs of textures. This work provides also comparison of the proposed technique with a wide-used wavelet texture features.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
JC - Computer hardware and software
OECD FORD branch
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Result continuities
Project
<a href="/en/project/GA102%2F02%2F0507" target="_blank" >GA102/02/0507: Computer graphics algorithms with FPGA support</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2003
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of the 2nd Australasian Data Mining Workshop
ISBN
0-9751724-1-7
ISSN
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e-ISSN
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Number of pages
10
Pages from-to
95-104
Publisher name
University of Technology Sydney
Place of publication
Sydney
Event location
Canberra
Event date
Dec 8, 2003
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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