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An Algorithm for Categorising Colours into Universal Colour Names

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Colour categorisation has been studied extensively on many different areas such as linguistic, psychology, physics and cognition. In colour science, colour categorisation has been used to solve the practical problems in the field of colour image reproduction and image analysis. A method to automatically categorise colours into the 11 universal colour names found by Berlin and Kay was developed here. Colour category experiment was carried out using 729 colour patches printed on four types of paper substrates. Models for categorising universal colours were developed in CIELAB and CIECAM02 colour spaces. The results show that the CIECAM02 based model outperformed the CIELAB based model and gave the same degree of accuracy as a group of observers.
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Document Type: Research Article

Publication date: January 1, 2006

More about this publication?
  • Started in 2002 and merged with the Color and Imaging Conference (CIC) in 2014, CGIV covered a wide range of topics related to colour and visual information, including color science, computational color, color in computer graphics, color reproduction, volor vision/psychophysics, color image quality, color image processing, and multispectral color science. Drawing papers from researchers, scientists, and engineers worldwide, DGIV offered attendees a unique experience to share with colleagues in industry and academic, and on national and international standards committees. Held every year in Europe, DGIV papers were more academic in their focus and had high student participation rates.

    Please note: For purposes of its Digital Library content, IS&T defines Open Access as papers that will be downloadable in their entirety for free in perpetuity. Copyright restrictions on papers vary; see individual papers for details.

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