Přístupnostní navigace
E-application
Search Search Close
Publication detail
HECKEL, M.
Original Title
Texture Image Description 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
Texture analysis, texture image description, wavelet transform, k-means algorithm, size gradient.
Authors
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" }