Detail publikace

Texture Analysis for Content Based Image Retrieval

HECKEL, M.

Originální název

Texture Analysis for Content Based Image Retrieval

Typ

článek ve sborníku mimo WoS a 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"
}