Detail publikace

Texture Analysis for Content Based Image Retrieval

HECKEL, M. Texture Analysis for Content Based Image Retrieval. Proceedings of 5th International Conference ISM. Ostrava: 2002. p. 37-44. ISBN: 80-85988-70-4.
Název česky
Texturní analýza pro podobnostní vyhledávání v obrazových datech
Typ
článek ve sborníku konference
Jazyk
anglicky
Autoři
Heckel Martin, Ing.
Klíčová slova

Content based image retrieval, texture analysis, texture image description, Daubechies' wavelet transform, k-means algorithm, size gradient

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.

Rok
2002
Strany
37–44
Sborník
Proceedings of 5th International Conference ISM
ISBN
80-85988-70-4
Místo
Ostrava
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"
}
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