Proceedings of the Korean Society of Broadcast Engineers Conference (한국방송∙미디어공학회:학술대회논문집)
- 2009.01a
- /
- Pages.396-399
- /
- 2009
Color Similarity Definition Based on Quantized Color Histogram for Clothing Identification
- Choi, Yoo-Joo (Dept. of Computer Science and Application, Seoul University of Venture and Information) ;
-
Moon, Nam-Mee
(Dept. of IT Application, Hoseo Graduate School of Venture, Hoseo University)
- Published : 2009.01.12
Abstract
In this paper, we present a method to define a color similarity between color images using Octree-based quantization and similar color integration. The proposed method defines major colors from each image using Octree-based quantization. Two color palettes to consist of major colors are compared based on Euclidean distance and similar color bins between palettes are matched. Multiple matched color bins are integrated and major colors are adjusted. Color histogram based on the color palette is constructed for each image and the difference between two histograms is computed by the weighted Euclidean distance between the matched color bins in consideration of the frequency of each bin. As an experiment to validate the usefulness, we discriminated the same clothing from CCD camera images based on the proposed color similarity analysis. We retrieved the same clothing images with the success rate of 88 % using only color analysis without texture analysis.