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A Method for Designing and Assessing Sensors for Chromaticity Constancy in High Dynamic Range Scenes

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The dependence of an object's colour on the illuminant chromaticity makes it difficult to use colour as a reliable cue in machine vision applications, particularly in naturally illuminated high dynamic range scenes. To solve this problem the outputs from four logarithmic sensors with different spectral responses can be used to obtain a two dimensional description of an object's chromaticity that is independent of the illuminant. The spectral responses of these four sensors have been optimised. A simple test of colour separability then suggests that using the data from these sensors it is possible to match the ability of the human visual system to separate similar colours. A comparison of the performance of the proposed system when the reflectance and illuminantion data are both changed suggests that readily available data (Munsell reflectance spectra and CIE standard daylight spectra) can be used to design a generic system to separate colours that are described as matching each other. However, for applications that require discrimination between very well matched colours it may be necessary to use an application specific system designed using data relevant to the application.
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Document Type: Research Article

Publication date: January 1, 2009

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  • CIC is the premier annual technical gathering for scientists, technologists, and engineers working in the areas of color science and systems, and their application to color imaging. Participants represent disciplines ranging from psychophysics, optical physics, image processing, color science to graphic arts, systems engineering, and hardware and software development. While a broad mix of professional interests is the hallmark of these conferences, the focus is color. CICs traditionally offer two days of short courses followed by three days of technical sessions that include three keynotes, an evening lecture, a vibrant interactive (poster) papers session, and workshops. An endearing symbol of the meeting is the Cactus Award, given each year to the author(s) of the best interactive paper; there are also Best Paper and Best Student Paper awards.

    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 paper for details.

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