Publication detail

Texture Image Description for Content Based Image Retrieval

HECKEL, M.

Original Title

Texture Image Description for Content Based Image Retrieval

Type

article in a collection out of WoS and Scopus

Language

English

Original Abstract

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.

Keywords

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

Authors

HECKEL, M.

Released

14. 5. 2002

Publisher

Faculty of Electrical Engineering and Communication BUT

Location

Brno

ISBN

80-214-2116-9

Book

Proceedings of 8th Conference Student EEICT 2002

Edition

3

Pages from

450

Pages to

454

Pages count

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"
}