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Illumination-Invariant Target Color Detection for EMCCD Camera

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We introduce an illumination-invariant target color detection technique for EMCCD camera. The EMCCD camera has an advantage to acquire a color image even though the surroundings are very low-light-levels. Since the EMCCD amplifies the input signal, an EMCCD noise which is caused by the gain process in low-light imaging systems occurs. In order to use the EMCCD image, we firstly reduce the noise by using selective Gaussian blur filter which maintains the image boundary. The threshold for the Gaussian blur filter is decided after the noise analysis by using sample patch modeling. We use illumination-invariant color space based on the image acquisition model for the target color detection. Experimental results show a good possibility to apply to intelligent surveillance system and night vision system.
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Document Type: Research Article

Publication date: January 1, 2012

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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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