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Automatic Color Reference Target Detection

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The use of standard color reference targets at image acquisition allows to compensate for different camera characteristics, illumination conditions and exposure times, ensuring true colors in digital photo workflows. Reliable automatic detection of reference targets makes color correction faster, and this becomes critical in mass digitization processes. The existing automatic algorithms usually assume that there is little perspective distortion and/or that the scanning resolution is known, achieving very limited results for example when the relative size of the color target is unknown. In this paper we present a preprocessing step that aims at automatically detecting a region of interest (ROI) where the reference target is located. We compare the performance of one of the available automatic tools (CCFind) with and without this preprocessing step, and show a considerable improvement in the detection of color reference targets in a new challenging dataset. In addition, a simple template matching approach is compared with the performance of CCFind. The results show that the selection of a smaller ROI complements well with the existing approaches and helps to improve detection.
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Document Type: Research Article

Publication date: November 3, 2014

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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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