ORGB: OFFSET CORRECTION IN RGB COLOR SPACE FOR ILLUMINATION-ROBUST IMAGE PROCESSING

被引:0
|
作者
Ying, Zhenqiang [1 ]
Li, Ge [1 ]
Wen, Sixin [2 ]
Tan, Guozhen [2 ]
机构
[1] Peking Univ, Shenzhen Grad Sch, SECE, Shenzhen, Peoples R China
[2] Dalian Univ Technol, Fac Elect Informat & Elect Engn, Dalian, Peoples R China
基金
美国国家科学基金会;
关键词
Image processing; illuminant invariance;
D O I
暂无
中图分类号
O42 [声学];
学科分类号
070206 ; 082403 ;
摘要
Single materials have colors which form straight lines in RGB space. However, in severe shadow cases, those lines do not intersect the origin, which is inconsistent with the description of most literature. This paper is concerned with the detection and correction of the offset between the intersection and origin. First, we analyze the reason for forming that offset via an optical imaging model. Second, we present a simple and effective way to detect and remove the offset. The resulting images, named ORGB, have almost the same appearance as the original RGB images while are more illumination-robust for color space conversion. Besides, image processing using ORGB instead of RGB is free from the interference of shadows. Finally, the proposed offset correction method is applied to road detection task, improving the performance both in quantitative and qualitative evaluations.
引用
收藏
页码:1557 / 1561
页数:5
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