Call for Papers

Apr 2019 - Volume 10, Issue 2
Deadline: 5 Apr 2019
Notification: 15 Apr 2019
Publication: 30 Apr 2019

June 2019 - Volume 10, Issue 3
Deadline: 5 June 2019
Notification: 15 June 2019
Publication: 30 June 2019

Indexed in


Title : Comparison of Color Features for Image Retrieval
Authors : S.R. Kodituwakku, S.Selvarajah
Keywords : Image Retrieval, Feature Representation, Color Histogram, Color Moments, Color Coherent Vector
Issue Date : October 2010
Abstract :
Content based image retrieval (CBIR) systems are used for automatic indexing, searching, retrieving and browsing of image databases. Color is one of the important features used in CBIR systems. An experimental comparison of a number of different color descriptors for content-based image retrieval is presented in this paper. Color histograms, color moments and color coherent vector (CCV) are considered for retrieval. The primary goal is to determine which color descriptor or combination of color descriptors is most efficient in representing the similarity of color images. In this paper, we first present the comparison of individual color descriptors and then the comparison of combined color descriptors. For the experiments, five different publicly available image databases are used and the retrieval performance of the features is analyzed in detail. This allows for a direct comparison of all features considered in this work and furthermore it will allow a comparison of newly proposed features to these in the future. The article concludes with recommendations which features perform well for what type of data.
Page(s) : 207-211
ISSN : 0976-5166
Source : Vol. 1, No.3