SHADOW AND NONSHADOW DETECTION USING TRICOLOR ATTE NUATION MODEL
Pathakamuri Srinivasulu · 2012
The shadows are regarded as obstacles in remote sensing image analysis. With high-resolution remote sensing images developed, especially in urban area, shadow detection plays a much more important role in many applications. Shadows, the common phenomena in most outdoor scenes, bring many problems in image processing and computer vision. In this paper ex-tracting shadows from a single outdoor image is presented. Based on image formation theory relationship between shadow and its nonshadow background is derived based on image formation theory. The parameters of the Tri-color Attenuation Model are fixed by using the spectral power distribution (SPD) of daylight and skylight, which are estimated according to Planck's blackbody ir-radiance law. The proposed shadow detection algorithm when compared to previous methods can extract shadows significantly than the existing methods.