Performance evaluation of color image retrieval

Author

Mendi, Engin ; Bayrak, Coskun

Author_Institution

Comput. Sci. Dept., Univ. of Arkansas at Little Rock, Little Rock, AR, USA

fYear

2010

fDate

13-15 Oct. 2010

Firstpage

1

Lastpage

5

Abstract

In this paper, we have investigated the capabilities of 4 approaches for image search for a CBIR system. First two approaches are based on comparing the images using color histograms of RGB and HSV spaces, respectively. The other 2 approaches are based on two quantitative image fidelity measurements, Mean Square Error (MSE) and Structural Similarity Index (SSIM), which provide a degree of similarity between two images. The precision performances of approaches have been evaluated by using a public image database containing 1000 images. Finally effectiveness of retrieval has been measured for each method.

Keywords

content-based retrieval; image colour analysis; image retrieval; mean square error methods; CBIR system; HSV spaces; MSE; RGB spaces; SSIM; color histograms; color image retrieval; image search; mean square error method; public image database; quantitative image fidelity measurements; structural similarity index; Dinosaurs; Feature extraction; Histograms; Image color analysis; Image retrieval; Pixel; color histogram; image fidelity measurement; image retrieval;

fLanguage

English

Publisher

ieee

Conference_Titel

Applied Imagery Pattern Recognition Workshop (AIPR), 2010 IEEE 39th

Conference_Location

Washington, DC

ISSN

1550-5219

Print_ISBN

978-1-4244-8833-9

Type

conf

DOI

10.1109/AIPR.2010.5759680

Filename

5759680