Wavelength intervals selection of illumination for separating objects from backgrounds in color vision applications

Author： Zhu Zhenmin Qu Xinghua Jia Guo-xin

ISSN： 1362-3044

Source： Journal of Modern Optics, Vol.58, Iss.9, 2011-05, pp. : 777-785

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Abstract

For scenes with complicated environments, the object is hard to discriminate from a background of various colors in color vision applications. This paper presents a partial least squares (PLS) method for improving discrimination of colored surfaces by selecting appropriate spectral intervals for illumination from the visible spectrum. First, the reflectance functions of all the surfaces are calibrated by multiple standard references. Second, the spectral intervals with high variables important in projection (VIP) scores of PLS analysis are selected for LED illumination. Afterwards, by using the selected wavelength intervals of LEDs for experiment, surfaces of the captured image can be clearly distinguished. Compared with the images obtained under illumination of unselected wavelength intervals of LEDs, the discriminations of most surfaces are more effective. The experiment result demonstrates the usefulness of this method.