Publication detail

Texture Analysis for Content Based Image Retrieval

HECKEL, M.

Original Title

Texture Analysis for Content Based Image Retrieval

Type

conference paper

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

Content based image retrieval, texture analysis, texture image description, Daubechies' wavelet transform, k-means algorithm, size gradient

Authors

HECKEL, M.

RIV year

2003

Released

22. 4. 2002

Location

Ostrava

ISBN

80-85988-70-4

Book

Proceedings of 5th International Conference ISM

Pages from

37

Pages to

44

Pages count

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"
}