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Publication detail
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
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" }