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http://dx.doi.org/10.14801/jkiit.2018.16.5.113

Content-based Image Retrieval Using HSV Color and Edge Orientation  

Song, Juwhan (Dept. of Smart Media, Jeonju University)
Publication Information
The Journal of Korean Institute of Information Technology / v.16, no.5, 2018 , pp. 113-118 More about this Journal
Abstract
In this paper, we propose a content-based image retrieval system using hue and value of the HSV color model and edge orientation. The proposed algorithm converts an RGB color image into an HSV color image, and then finds the edge orientation using the hue and the value. The values, which are obtained by quantizing the hue, value, and edge orientation, respectively, are defined as feature vectors of the image. The feature vectors of each image are stored in the database and then compared with the feature vector of the input image. The retrieval performance was tested using 1000 images of Corel 1000 database. Experimental results show that the proposed method retrieves images more effectively than the standard color histogram method, the color difference histogram method, and the color corelogram method. The average precision for the top 20 was 0.06, 0.01, and 0.10 higher than the comparison methods.
Keywords
CBIR; image retrieval; color histogram; edge orientation; HSV color; feature extraction;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
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