DocumentCode :
1776136
Title :
A survey of the existing shadow detection techniques
Author :
Nandini, D. Usha ; Leni, A. Ezil Sam
Author_Institution :
Sathyabama Univ., Chennai, India
fYear :
2014
fDate :
10-11 July 2014
Firstpage :
175
Lastpage :
177
Abstract :
Shadows are formed when light from the source is obstructed by an object. Shadows hide the information of the underlying objects which will lead to wrong interpretations during image processing. Hence shadow detection has become a vital pre-processing step in digital image processing as most of the images acquired are contaminated with shadows. The shadows are found more in urban images where the surface elevation changes dramatically thus increasing the complexity of the scenes. In this paper we discuss the various techniques that have been used for shadow detection for both still images and moving objects.
Keywords :
image motion analysis; image segmentation; digital image processing; image segmentation; moving objects; shadow detection techniques; still images; urban images; Classification algorithms; Conferences; Image color analysis; Image edge detection; Image segmentation; Light sources; Lighting; Cast Shadow; Penumbra; Segmentation; Self Shadow; Shadows; Thresholding; Umbra;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control, Instrumentation, Communication and Computational Technologies (ICCICCT), 2014 International Conference on
Conference_Location :
Kanyakumari
Print_ISBN :
978-1-4799-4191-9
Type :
conf
DOI :
10.1109/ICCICCT.2014.6992951
Filename :
6992951
Link To Document :
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