Publication detail

Texture Image Description for Content Based Image Retrieval

HECKEL, M.

Original Title

Texture Image Description for Content Based Image Retrieval

English Title

Texture Image Description for Content Based Image Retrieval

Type

conference paper

Language

en

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.

English 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.

Released

14.05.2002

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",
  annote="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.",
  address="Faculty of Electrical Engineering and Communication BUT",
  booktitle="Proceedings of 8th Conference Student EEICT 2002",
  chapter="10022",
  edition="3",
  institution="Faculty of Electrical Engineering and Communication BUT",
  year="2002",
  month="may",
  pages="450--454",
  publisher="Faculty of Electrical Engineering and Communication BUT",
  type="conference paper"
}