Shadow and Nonshadow Detection Using Tricolor Attenuation Model
E.Anil kumar1, P.Srinivasulu2
1Mr E.Anil Kumar, Department of DECS, Srikalahasti Institute of Technology, Srikalahasti, Chittoor (Andhra Pradesh), India.
2Mr P. Srinivasulu, M. Tech. Assistant Proffecer Department of ECE, Srikalahasti Institute of Technology, Srikalahasti, Chittoor (Andhra Pradesh), India.
Manuscript received on 18 August 2012 | Revised Manuscript received on 25 August 2012 | Manuscript published on 30 August 2012 | PP: 183-186 | Volume-1 Issue-3, August 2012 | Retrieval Number: C0296071312/2012©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: 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.
Keywords: Remote Sensing, Shadow Detection, Tricolor Attenuation Model (TAM).
Scope of the Article: Remote Sensing