NDLI: Generalization of hue in the RGB cube space

Content Provider	IEEE Xplore Digital Library
Author	Khoo, Hee Kooi Ong, Hong Choon
Copyright Year	2014
Description	Author affiliation: Department of Information Technology, School of Engineering, Science and Technology, KDU College Penang, 10400, Georgetown, Malaysia (Khoo, Hee Kooi) \|\| School of Mathematical Sciences, Universiti Sains Malaysia, 11800 USM, Penang, Malaysia (Ong, Hong Choon)
Abstract	The general formulation of hue is continually being established throughout the study of the RGB (red, green, blue) cube space. This paper proposes a formulation that consists of a forward RGB to hue transform and its inverse for perfect RGB color reproduction. The proposed formulation is defined independently of the saturation and brightness, which can be considered fixed as constants. Our study indicates that the hue angle monotonically changes with the increments and decrements of intensity in the median of RGB channels. Furthermore, the formulation has simplified the hue definitions using median channel as the shift for hue angle. As a result, the forward transform produces a new set of hue angular information which significantly improves the performance of the existing hue models in terms of perceptual uniformity, visual quality and efficiency. The proposed formulation is beneficial to machine vision related studies, essentially the image segmentation and image classifications.
Starting Page	631
Ending Page	636
File Size	2094041
Page Count	6
File Format	PDF
ISBN	9781479921881
ISSN	21645221
e-ISBN	9781479921867
DOI	10.1109/ICOSP.2014.7015080
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-10-19
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image color analysis Color Transforms Visualization Computational modeling Brightness Image segmentation color segmentation Hue RGB cube space chromatic plane color difference color image analysis
Content Type	Text
Resource Type	Article

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