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IEEE International Conference on Image Processing (ICIP), Hong-Kong : Hong-Kong (2010)
Hue-Based Quaternionic Criterion for Focused-Color Extraction
Frédéric Petit 1, Anne-Sophie Capelle-Laizé 1, Philippe Carré 1
ICONES Collaboration(s)
(09/2010)

In this paper, a method of specific colored area extraction into a color image is presented. Usual color segmentation or edge de- tection operators perform a global processing on the image. Thus, every area into an image is detected. The whole image is subdi- vided into several region by labeled pixels, or boundaries in case of an edge detection. Our purpose is to extract only specific areas into an image sharing a specific color attribute, hence sharing a common color based on a specific hue. The quaternionic geometrical transfor- mation into RGB color space is used. A specific hue axis is defined. From this axis, a criterion defines a color subspace into an RGB color space using the quaternionic HSI interpretation of RGB vectors.
1 :  XLIM (XLIM)
CNRS : UMR6172 – Université de Limoges
SIC
Informatique/Traitement des images
Color images – Edge detection – Color Extraction – Color subspace – Quaternions.