文章基本信息

标题：Shadow Detection and Removal from a Single Image Using LAB Color Space
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作者：Saritha Murali ; V. K. Govindan
期刊名称：Cybernetics and Information Technologies
印刷版ISSN：1311-9702
电子版ISSN：1314-4081
出版年度：2013
卷号：13
期号：1
页码：95
DOI：10.2478/cait-2013-0009
出版社：Bulgarian Academy of Science
摘要：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.
关键词：Shadow detection; shadow removal; LAB colour space; illumination;reintegration.