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Title: Image indexing with caterpillar decomposition
Other Titles: Tırtıl Ayrışması ile İmge İndeksleme
Authors: Yılmaz, Fadi
Demirci, Muhammed Fatih
Issue Date: 2011
Publisher: IEEE Computer Society
Abstract: Given a large image database and query image, efficiently finding all similar database images is an important problem facing researchers in computer vision. This paper proposes an approach for indexing image databases, where images can be represented as tree structures. The algorithm is based on graphtheorical concept named caterpillar decomposition which has been used in the literature for graph embedding. The experimental evaluation of the proposed approach and its comparison with the previous indexing algorithms demonstrates its overall efficacy for image retrieval. © 2011 IEEE.
ISBN: 9781457704635
Appears in Collections:Bilgisayar Mühendisliği Bölümü / Department of Computer Engineering
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection

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