Detail publikace

Texture Image Description for Content Based Image Retrieval

HECKEL, M. Texture Image Description for Content Based Image Retrieval. Proceedings of 8th Conference Student EEICT 2002. 3. Brno: Faculty of Electrical Engineering and Communication BUT, 2002. p. 450-454. ISBN: 80-214-2116-9.
Název česky
Popis texturního obrazu pro podobnostní vyhledávání
Typ
článek ve sborníku konference
Jazyk
anglicky
Autoři
Heckel Martin, Ing.
Klíčová slova

Texture analysis, texture image description, 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
450–454
Sborník
Proceedings of 8th Conference Student EEICT 2002
Řada
3
ISBN
80-214-2116-9
Vydavatel
Faculty of Electrical Engineering and Communication BUT
Místo
Brno
BibTeX 
@inproceedings{BUT10022,
  author="Martin {Heckel}",
  title="Texture Image Description for Content Based Image Retrieval",
  booktitle="Proceedings of 8th Conference Student EEICT 2002",
  year="2002",
  series="3",
  pages="450--454",
  publisher="Faculty of Electrical Engineering and Communication BUT",
  address="Brno",
  isbn="80-214-2116-9"
}
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