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Publication detail
HECKEL, M.
Original Title
Texture Analysis 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
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" }