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Spectral Estimation of Fluorescent Objects Using Visible Lights and an Imaging Device

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A method is proposed for estimating the spectral radiance factor of fluorescent objects by using visible lights and an imaging device. We use neither an ultraviolet light (black light) nor a monochromator, but use an easy imaging system consisting of a multi-band camera and two ordinary visible light sources. The imaging system can provide fluorescent characteristics at every pixel of an object surface. The camera outputs are modeled using the Donaldson matrix with the two factors of reflected radiance and luminescent radiance. An algorithm is then presented for estimating both radiance factors from two sets of spectral images of the camera outputs, captured under two light sources. This solution method is based on use of two sets of observations under the known illuminant spectra to obtain two unknown components. The feasibility of the proposed method is examined in experiments using fluorescent paints in detail. The light sources of an incandescent lamp and an artificial sun lamp are selected as a set of suitable light sources. The accuracy of the estimated radiance factors is confirmed.
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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, 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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