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http://dx.doi.org/10.9708/jksci.2014.19.2.049

CBIRS/TB Using Color Feature Information for A tablet Recognition  

Koo, Gun-Seo (Dept. Digital Media, Soong Eui Women's College)
Abstract
This thesis proposes CBIRS/TB method that uses a tablet's color distribution information and form distinctive in content-based search. CBIRS/TB can avoid misuses and improper tablet uses by conducting content-based search in commonly prescribed tablets. The existing FE-CBIRS system is limited to recognizing only the image of color and shape of the tablet, that leads to applying insufficient form-specific information. While CBIRS/TB utilizes average, standard deviation, hue and saturation of each tablets in color, brightness, and contrast, FE-CBIRS has partial-sphere application problem; only applying the typical color of the tablet. Also, in case of the shape-specific-information, Invariant Moment is mainly used for the extracted partial-spheres. This causes delayed processing time and accuracy problems. Therefore, to improve this setback, this thesis indexed color-specific-information of the extracted images into categorized classification for improved search speed and accuracy.
Keywords
Tablets; CBIRS/TB(Content Based Image Retrieval System for Tables); FE-CBIRS:(Feature Extraction-Content Based Image Retrieval System); CBIRS; R.G.B Color Space;
Citations & Related Records
Times Cited By KSCI : 7  (Citation Analysis)
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