Detail publikace

Texture Analysis for Content Based Image Retrieval

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

HECKEL, M.

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"
}