Image indexing with caterpillar decomposition Tirtil ayrişmasi ile i̇mge i̇ndeksleme


YILMAZ F. , Fatih Demirci M.

2011 IEEE 19th Signal Processing and Communications Applications Conference, SIU 2011, pp.58-61, 2011 (Refereed Journals of Other Institutions) identifier

  • Publication Type: Article / Abstract
  • Publication Date: 2011
  • Doi Number: 10.1109/siu.2011.5929583
  • Title of Journal : 2011 IEEE 19th Signal Processing and Communications Applications Conference, SIU 2011
  • Page Numbers: pp.58-61

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.