GLHS: a generalized lightness, hue, and saturation color model
CVGIP: Graphical Models and Image Processing
Color segmentation algorithm using an HLS transformation
ISMM '98 Proceedings of the fourth international symposium on Mathematical morphology and its applications to image and signal processing
Content-Based Image Retrieval at the End of the Early Years
IEEE Transactions on Pattern Analysis and Machine Intelligence
SIGGRAPH '78 Proceedings of the 5th annual conference on Computer graphics and interactive techniques
Constructing cylindrical coordinate colour spaces
Pattern Recognition Letters
Color and texture image segmentation using uniform local binary patterns
Machine Graphics & Vision International Journal
A tensorial framework for color images
Pattern Recognition Letters
Color correction: a novel weighted Von Kries model based on memory colors
CCIW'11 Proceedings of the Third international conference on Computational color imaging
Computer Vision and Image Understanding
Color based skin classification
Pattern Recognition Letters
Motion detection using an improved colour model
ISVC'06 Proceedings of the Second international conference on Advances in Visual Computing - Volume Part II
Image quality assessment for the visually impaired
UAHCI'13 Proceedings of the 7th international conference on Universal Access in Human-Computer Interaction: user and context diversity - Volume 2
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Representations of the RGB space in terms of 3D-polar co-ordinates (hue, saturation and brightness) are often used in image analysis. The literature describes a large number of similar coordinate systems (HLS, HSV, etc.). We show that the read, on for the existence of so many systems is a poor definition of the saturation coordinate which makes it dependent on the brightness function used: and hence poorly suited to image analysis applications. An improved saturation measurement which (1) always has small values for achromatic colours and (2) is independent of the brightness function is derived.