Abstract
Shadows are illuminated as a result of Rayleigh scattering phenomenon, which happens to be more effective for small wavelengths of light. We propose utilization of false color images for shadow detection, since the transformation eliminates high frequency blue component and introduces low frequency near-infrared channel. Effectiveness of the approach is tested by using several shadow-variant texture and color-related cues proposed in the literature. Performances of these cues in regular and false color images are compared and analyzed within a supervised system by using a support vector machine classifier. © 2012 Springer-Verlag.
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CITATION STYLE
Aksoy, Y., & Aydin Alatan, A. (2012). Utilization of false color images in shadow detection. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7584 LNCS, pp. 472–481). Springer Verlag. https://doi.org/10.1007/978-3-642-33868-7_47
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