Přístupnostní navigace
E-přihláška
Vyhledávání Vyhledat Zavřít
Detail publikace
HECKEL, M.
Originální název
Texture Analysis for Content Based Image Retrieval
Typ
článek ve sborníku ve WoS nebo Scopus
Jazyk
angličtina
Originální abstrakt
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. The 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.
Klíčová slova
Content based image retrieval, texture analysis, texture image description, Daubechies' wavelet transform, k-means algorithm, size gradient
Autoři
Rok RIV
2003
Vydáno
22. 4. 2002
Místo
Ostrava
ISBN
80-85988-70-4
Kniha
Proceedings of 5th International Conference ISM
Strany od
37
Strany do
44
Strany počet
8
BibTex
@inproceedings{BUT10021, author="Martin {Heckel}", title="Texture Analysis for Content Based Image Retrieval", booktitle="Proceedings of 5th International Conference ISM", year="2002", pages="37--44", address="Ostrava", isbn="80-85988-70-4" }