Shadow Detection and Removal from a Single Image Using LAB Color Space

Abstract A shadow appears on an area when the light from a source cannot reach the area due to obstruction by an object. The shadows are sometimes helpful for providing useful information about objects. However, they cause problems in computer vision applications, such as segmentation, object detect...

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Bibliographic Details
Published in:Cybernetics and information technologies : CIT 2013-01, Vol.13 (1), p.95-103
Main Authors: Murali, Saritha, Govindan, V. K.
Format: Article
Language:English
Subjects:
Boundaries
Color
Computer vision
Constants
Equivalence
Image detection
Shadows
Tasks
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Summary:Abstract A shadow appears on an area when the light from a source cannot reach the area due to obstruction by an object. The shadows are sometimes helpful for providing useful information about objects. However, they cause problems in computer vision applications, such as segmentation, object detection and object counting. Thus shadow detection and removal is a pre-processing task in many computer vision applications. This paper proposes a simple method to detect and remove shadows from a single RGB image. A shadow detection method is selected on the basis of the mean value of RGB image in A and B planes of LAB equivalent of the image. The shadow removal is done by multiplying the shadow region by a constant. Shadow edge correction is done to reduce the errors due to diffusion in the shadow boundary.
ISSN:1311-9702
1314-4081
DOI:10.2478/cait-2013-0009