DocumentCode
2015088
Title
FCTH: Fuzzy Color and Texture Histogram - A Low Level Feature for Accurate Image Retrieval
Author
Chatzichristofis, Savvas A. ; Boutalis, Yiannis S.
Author_Institution
Dept. of Electr. & Comput. Eng., Democritus Univ. of Thrace, Xanthi
fYear
2008
fDate
7-9 May 2008
Firstpage
191
Lastpage
196
Abstract
This paper deals with the extraction of a new low level feature that combines, in one histogram, color and texture information. This feature is named FCTH - Fuzzy Color and Texture Histogram - and results from the combination of 3 fuzzy systems. FCTH size is limited to 72 bytes per image, rendering this descriptor suitable for use in large image databases. The proposed feature is appropriate for accurately retrieving images even in distortion cases such as deformations, noise and smoothing. It is tested on a large number of images selected from proprietary image databases or randomly retrieved from popular search engines. To evaluate the performance of the proposed feature, the averaged normalized modified retrieval rank was used. An online demo that implements the proposed feature in an image retrieval system is available at: http://orpheus.ee.duth.gr/image_retrieval.
Keywords
fuzzy set theory; image colour analysis; image retrieval; image texture; visual databases; accurate image retrieval; averaged normalized modified retrieval rank; fuzzy color histogram; fuzzy systems; fuzzy texture histogram; image retrieval system; large image databases; low level feature; search engines; texture information; Colored noise; Data mining; Fuzzy systems; Histograms; Image databases; Image retrieval; Information retrieval; Rendering (computer graphics); Smoothing methods; Testing; FCTH; Fuzzy Linking; Image Retrieval; Low Level Features;
fLanguage
English
Publisher
ieee
Conference_Titel
Image Analysis for Multimedia Interactive Services, 2008. WIAMIS '08. Ninth International Workshop on
Conference_Location
Klagenfurt
Print_ISBN
978-0-7695-3344-5
Electronic_ISBN
978-0-7695-3130-4
Type
conf
DOI
10.1109/WIAMIS.2008.24
Filename
4556917
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