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.