Texture Analysis for Content Based Image Retrieval

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F02%3APU36212" target="_blank" >RIV/00216305:26230/02:PU36212 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Texture Analysis for Content Based Image Retrieval
Original language description
Content based image retrieval systems use for description of image queries and images in a database their own color, texture and shape properties. This paper focuses on the description of texture properties of images. A technique for texture image description is proposed, which consists of two steps: an analysis of particular texture samples obtained by an image uniform sampling followed by the k-means algorithm, which is applied for partitioning feature vectors from this analysis into image regions. Thhe use of this approach is also presented, mainly in respect of natural textures with a size gradient. This technique was used in an experimental texture retrieval system too. An example of a query and a retrieval result are included as well.
Czech name
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Czech description
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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)

Publication year
2002
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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