DocumentCode
1923937
Title
An efficient image retrieval using central tendency
Author
Malini, R. ; Vasanthanayaki, C.
Author_Institution
Department of Electronics and Communication Engineering Government College of Technology Coimbatore, India
fYear
2013
fDate
21-22 Feb. 2013
Firstpage
61
Lastpage
67
Abstract
This paper aims to improve the effectiveness of retrieving images on the basis of color content. The paper is organized as follows. Firstly, a mean based technique with reduced feature vector is proposed. Secondly, a new idea to extract the features of an image based on the measure of central tendency is proposed. The proposed mean based technique is compared with existing color averaging techniques for retrieval speed and memory requirement. Finally the proposed mean based technique is compared with the measures of central tendency for retrieval efficiency. The proposed CBIR techniques are tested on generic image database and indexed image database. Experimental results shows that proposed method based on the measures of central tendency gives better performance in terms of higher precision and recall values with less computational complexity.
Keywords
IEEE Xplore; Portable document format; euclidean distance; maximum; mean; median; minimum; mode; precision; recall;
fLanguage
English
Publisher
ieee
Conference_Titel
Pattern Recognition, Informatics and Mobile Engineering (PRIME), 2013 International Conference on
Conference_Location
Salem
Print_ISBN
978-1-4673-5843-9
Type
conf
DOI
10.1109/ICPRIME.2013.6496448
Filename
6496448
Link To Document