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Colour image segmentation in presence of shadows

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To achieve a correct colour image segmentation in the presence of shadows is still a challenge. The varying object shapes in a scene provoke several effects in an image such as shadows, shadings, and highlights. This physical effects produce strong edges on an image that are not considered for human segmentation. These edges are detected by the current segmentation methods. This paper analyze the capability of the Ridge-based Distribution Analysis method (RAD) to perform a correct segmentation in the presence of shadows. RAD is based on the idea that the representative colour of a shadow and the representative colour of the object affected by this shadow share some spatial properties. RAD finds this relationship assigning one colour for an object even when this object is affected by shadows. This analysis is done on different chromatic spaces to determine the one that fits better to RAD. Results achieved point out that RAD is able to perform a correct segmentation in the presence of self and cast shadows.
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Document Type: Research Article

Publication date: January 1, 2008

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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