An efficient similarity measure for color-based image retrieval
Joint Authors
Khidr, Isra Muhammad
Ismail, Qays
Source
al-Tarbiyah wa-al-Ilm : Majallat ilmiyah lil-Buhuth al-Ilmiyah al-Asasiyah
Issue
Vol. 21, Issue 2 (30 Jun. 2008), pp.135-142, 8 p.
Publisher
University of Mosul College of Education for Pure Science
Publication Date
2008-06-30
Country of Publication
Iraq
No. of Pages
8
Main Subjects
Information Technology and Computer Science
Topics
Abstract EN
Similarity measures are an important factor in the Content-Based Image Retrieval (CBIR).
This paper finds the most efficient similarity measure from four image similarity measures.
Related work on (CBIR) indicated that these measures have significantly improved the retrieval performance.
These measures are the Chi-Squared, The Weighted Mean Variance distance (WMV), The Euclidean distance, and Cosine distance.
A sample of 50 colored images is selected from CALTECH visual database.
These images were transformed to (HSV) color space.
Color features were extracted; these features are the color moments.
Experimental results of the proposed work show that the Euclidean distance measure is the most efficient measure for color based image retrieval.
American Psychological Association (APA)
Khidr, Isra Muhammad& Ismail, Qays. 2008. An efficient similarity measure for color-based image retrieval. al-Tarbiyah wa-al-Ilm : Majallat ilmiyah lil-Buhuth al-Ilmiyah al-Asasiyah،Vol. 21, no. 2, pp.135-142.
https://search.emarefa.net/detail/BIM-622811
Modern Language Association (MLA)
Khidr, Isra Muhammad& Ismail, Qays. An efficient similarity measure for color-based image retrieval. al-Tarbiyah wa-al-Ilm : Majallat ilmiyah lil-Buhuth al-Ilmiyah al-Asasiyah Vol. 21, no. 2 (Jun. 2008), pp.135-142.
https://search.emarefa.net/detail/BIM-622811
American Medical Association (AMA)
Khidr, Isra Muhammad& Ismail, Qays. An efficient similarity measure for color-based image retrieval. al-Tarbiyah wa-al-Ilm : Majallat ilmiyah lil-Buhuth al-Ilmiyah al-Asasiyah. 2008. Vol. 21, no. 2, pp.135-142.
https://search.emarefa.net/detail/BIM-622811
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 141-142
Record ID
BIM-622811