Title :
A survey of the existing shadow detection techniques
Author :
Nandini, D. Usha ; Leni, A. Ezil Sam
Author_Institution :
Sathyabama Univ., Chennai, India
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;
Conference_Titel :
Control, Instrumentation, Communication and Computational Technologies (ICCICCT), 2014 International Conference on
Conference_Location :
Kanyakumari
Print_ISBN :
978-1-4799-4191-9
DOI :
10.1109/ICCICCT.2014.6992951