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Highlight Detection by 2D-Histogram Analysis

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We present image segmentation and highlight detection algorithms based on the dichromatic reflection model. For image segmentation, we use the model prediction that objects of a certain colour produce lines (the matte lines) radiating away from the origin of the RGB colour space. These lines therefore show up as peaks in a 2-dimensional histogram of the angular coordinates of a spherical polar coordinate representation of the RGB space. An algorithm for automatically locating these peaks is suggested. When the matte line locations are known, one can define cylindrical polar coordinate systems having their z-axes centred on the matte lines. We suggest a Hough-based algorithm for the detection of highlight lines in 2D-histograms of the ρ and z coordinates of the cylindrical polar coordinate system. Examples of the results of applying these algorithms are given.
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Document Type: Research Article

Publication date: January 1, 2004

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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