| Title |
Color Segmentation robust to Illumination Variations based on Statistical Methods of Hue and Saturation including Brightness |
| Authors |
김치호(Kim, Chi-Ho) ; 유범재(You, Bum-Jae) ; 김학배(Kim, Hagbae) |
| Keywords |
Color Segmentation ; Color Model ; Illumination Variations ; B-spline Curve Fitting ; Evaluation Index (EI) |
| Abstract |
Color segmentation takes great attentions since a color is an effective and robust visual cue for characterizing one object from other objects. Color segmentation is, however, suffered from color variation induced from irregular illumination changes. This paper proposes a reliable color modeling approach in HSI (Hue-Saturation-Intensity) rotor space considering intensity information by adopting B-spline curve fitting to make a mathematical model for statistical characteristics of a color with respect to brightness. It is based on the fact that color distribution of a single-colored object is not invariant with respect to brightness variations even in HS (Hue-Saturation) plane. The proposed approach is applied for the segmentation of human skin areas successfully under various illumination conditions. |