Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.11851/5508
Title: A hybrid approach to content-based image retrieval
Authors: Aşilioğlu G.
Kaya E. M.
Sarıkaya D.
Gao, S.
Özyer, T.
Jida J.
Alhajj R.
Issue Date: 2011
Publisher: IGI Global
Abstract: Digital image storage and retrieval is gaining more popularity due to the rapidly advancing technology and the large number of vital applications, in addition to flexibility in managing personal collections of images. Traditional approaches employ keyword based indexing which is not very effective. Content based methods are more attractive though challenging and require considerable effort for automated feature extraction. In this chapter, we present a hybrid method for extracting features from images using a combination of already established methods, allowing them to be compared to a given input image as seen in other query-by-example methods. First, the image features are calculated using Edge Orientation Autocorrelograms and Color Correlograms. Then, distances of the images to the original image will be calculated using the L1 distance feature separately for both features. The distance sets will then be merged according to a weight supplied by the user. The reported test results demonstrate the applicability and effectiveness of the proposed approach. © 2012, IGI Global.
URI: https://doi.org/10.4018/978-1-61350-126-9.ch006
https://hdl.handle.net/20.500.11851/5508
ISBN: 9781613501269
Appears in Collections:Bilgisayar Mühendisliği Bölümü / Department of Computer Engineering
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection

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