Abstract
Diffuse and specular image component separation is a powerful image preprocessing for image segmentation. The approach presented here is based on observed properties of the distribution of pixel colors in the RGB cube according to the Dichromatic Reflectance Model (DRM). We estimate the lines in the RGB cube corresponding to the diffuse and specular chromaticities. Then the specular component is easily removed by projection on the diffuse chromaticity line. The specular component is computed by a straightforward difference. The proposed algorithm does not need any additional information besides the image under study.
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Moreno, R., Graña, M., d’Anjou, A. (2011). A Geometrical Method of Diffuse and Specular Image Components Separation. In: Cabestany, J., Rojas, I., Joya, G. (eds) Advances in Computational Intelligence. IWANN 2011. Lecture Notes in Computer Science, vol 6692. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-21498-1_11
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DOI: https://doi.org/10.1007/978-3-642-21498-1_11
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