Shadow removal using texture and color clustering

APA 6th edition
In-text: (Nasrabadi & Vaezi, 2017)
Your Bibliography: Nasrabadi, A. & Vaezi, M. (2017). Shadow removal using texture and color clustering. International Journal of Environmental and Science Education, 12(4), 701-709.

Harvard
In-text: (Nasrabadi and Vaezi, 2017)
Your Bibliography: Nasrabadi, A. and Vaezi, M. (2017). Shadow removal using texture and color clustering. International Journal of Environmental and Science Education, 12(4), pp. 701-709.

Chicago 16th edition
In-text: (Nasrabadi and Vaezi 2017)
Your Bibliography: Nasrabadi, Abbas and Mahdi Vaezi (2017). "Shadow removal using texture and color clustering". International Journal of Environmental and Science Education 12 (4):701-709.

Abstract

While perfect illumination conditions are not usually available at most of the vision sites the resulting shadows are in role of poison for countless algorithms and applications, despite the numerous efforts which have been put yet most of the presented solutions have major disadvantages, at this work a method with mediocre computation load and high reliability is presented which abolishes the soft shadows with respect to the texture and color clusters without attending to detect the shadowed regions.

Keywords: shadow removal, texture and color analysis, computer vision

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