In this paper, we present a comparative study of detection and elimination of highlights in real color images of any type of material. We use different polar color spaces for the automatic highlight detection (HLS, HSV and L1-norme). To eliminate the highlights detected, we use a new connected vectorial filter of color mathematical morphology which it operates exclusively on bright zones, reducing the high cost of processing of the connected filter and avoiding over-simplification. The new method proposed here achieves good results and it not requires costly multiple-view systems or stereo images. © Springer-Verlag Berlin Heidelberg 2005.
CITATION STYLE
Ortiz, F., Torres, F., & Gil, P. (2005). A comparative study of highlights detection and elimination by color morphology and polar color models. In Lecture Notes in Computer Science (Vol. 3523, pp. 295–302). Springer Verlag. https://doi.org/10.1007/11492542_37
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