Content based image retrieval using the knowledge of texture, color and binary tree structure

Content base image retrieval is an important research field with many applications. In this paper we presents a new approach for finding similar images to a given query, in a general-purpose image database using content-based image retrieval. Color and texture are used as basic features to describe...

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Bibliographic Details
Published in2009 Canadian Conference on Electrical and Computer Engineering pp. 999 - 1003
Main Authors Mansoori, Z., Jamzad, M.
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.05.2009
Subjects
Binary Tree Partitioning
Binary trees
Color
Content based retrieval
Content-based Image retrieval
Data mining
Feature extraction
Histograms
Image databases
Image retrieval
Information retrieval
Spatial databases
texture
Visual databases
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Summary:Content base image retrieval is an important research field with many applications. In this paper we presents a new approach for finding similar images to a given query, in a general-purpose image database using content-based image retrieval. Color and texture are used as basic features to describe images. In addition, a binary tree structure is used to describe higher level features of an image. It has been used to keep information about separate segments of the images. The performance of the proposed system has been compared with the SIMPLIcity system using COREL image database. Our experimental results showed that among 10 image categories available in COREL database, our system had a better performance (10% average) in four categories, equal performance in two and lower performance (7% average) for the remaining four categories.
ISBN:1424435099
9781424435098
ISSN:0840-7789
2576-7046
DOI:10.1109/CCECE.2009.5090280