Abstract
A shadow identification and classification method for real images
is developed. The method is based on extensive analysis of shadow
intensity and shadow geometry. The procedure for identifying shadows is
divided into low-level, middle-level, and high-level processes. The
low-level extracts dark regions from images. The middle-level process
performs feature analysis on dark regions, including detecting vertices
on the outlines of dark regions, identifying penumbrae in dark regions,
assigning the subregions in dark regions as self-shadows and cast
shadows, and finding object regions adjacent to dark regions. The
high-level process integrates the information derived from the previous
processes and confirms shadows among the dark regions
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