Automatic and Robust Shadow Segmentation from Two-Dimensional Scenes

Based on combining both hue value in HSV color space and blue component in RGB color space,a robust and effective algorithm was presented to automatically extract shaded regions from two-dimensional color images.According to hue difference between shaded and non-shaded regions,possible shaded regions were extracted by HSV color model at first.In order to eliminate the influence of objects with bluer color within the segmented shaded regions,the blue component in RGB color space was taken as a template.A single threshold segmentation method was used to determine the optimal threshold value of histogram obtained from the template multiplied by the extracted shaded regions pixel-wise.The segmented regions with the blue value lower than the threshold value were taken as an efficient shaded region.Experimental results show that the developed algorithm is feasible after shadow detection on actual natural scenes in different illumination conditions.