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An Efficient Designing Method of Spectral Distribution of Illuminant for the Enhancement of Color Discrimination

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In this study, we propose a method for designing an illuminant for supporting color discrimination with maintaining the arbitrary illuminant color. It was applied to the problem of foreign substances detection in blueberry jam because it is especially difficult and essential for quality assurance. To obtain the optimal illuminant, a spectral dataset of metameric illuminants was constructed and a combination of the metameric illuminants with a given chromaticity was derived to maximize the color differences between the jam and foreign substances (leaf, branch, and stone). A color appearance model (CIECAM02) was used to evaluate difficulty of the substance discrimination. The designed illuminant was implemented using a synthesized spectral light source, which clearly showed that the color discrimination of jam and foreign substances was enhanced. The application field for this technique is not limited to foreign substance detection in blueberry jam because it could also be applied to quality control processes of other industrial products, medical imaging, and so on.

Document Type: Research Article

Publication date: 2011-01-01

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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, and a vibrant interactive papers session. An endearing symbol of the meeting is the Cactus Award, given each year to the author(s) of the best interactive paper presentation.

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