Detail publikace

Texture Image Description for Content Based Image Retrieval

HECKEL, M.

Originální název

Texture Image Description 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

Texture analysis, texture image description, wavelet transform, k-means algorithm, size gradient.

Autoři

HECKEL, M.

Vydáno

14. 5. 2002

Nakladatel

Faculty of Electrical Engineering and Communication BUT

Místo

Brno

ISBN

80-214-2116-9

Kniha

Proceedings of 8th Conference Student EEICT 2002

Edice

3

Strany od

450

Strany do

454

Strany počet

5

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"
}