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
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;
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
DOI :
10.1109/WIAMIS.2008.24