A novel color space based on RGB color barycenter

• Published in: 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) pp. 1601 - 1605
• Main Authors: Qieshi Zhang, Kamata, Sei-ichiro
• Format: Conference Proceeding Journal Article
• Language: English
• Published: IEEE 01-03-2016
• Subjects: Center of gravity; Chroma; Color; Color barycenter; Color space; Conferences; Electronics; Image color analysis; Image processing; Indexes; Lightness; Mathematical model; Production; Saturation; Signal processing; Space based; Speech; Three-dimensional displays
• ISSN: 2379-190X
• DOI: 10.1109/ICASSP.2016.7471947

Color space is one of the bases in the image processing area. Suitable color space can give the suitable description of colors for variant processing. However, in the image processing area, the existing color space cannot show the suitable distribution in color and lightness. In this paper, a novel color space based on RGB color barycenter (RGB-CB) is proposed to describe the color and lightness more intuitively. To prove the effectiveness of the proposed color space, YUV, HSV, L*a*b*, and IPT color spaces are discussed and compared. Experimental results show the proposed color space can perform better effect than other color space in image processing.