Shadow detection and removal is an important task when dealing with colour outdoor images. Shadows are generated by a local and relative absence of light. Shadows are, first of all, a local decrease in the amount of light that reaches a surface. Secondly, they are a local change in the amount of light rejected by a surface toward the observer. Most shadow detection and segmentation methods are based on image analysis. However, some factors will affect the detection result due to the complexity of the circumstances, like water and a low intensity roof because of the special material as they are easy mistaken as shadows. In this paper we present a hypothesis test to detect shadows from the images and then energy function concept is used to remove the shadow from the image.

SHADOW DETECTION AND REMOVAL.pdf

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