Shadow detection and removal is very essential to process the images in the next level. Generally high resolution color remote sensing images are put it forward an object oriented shadow detection and removal technique. In this method shadow features are also taken into consideration during image segmentation and to the statistical features of the images, suspected shadows are extracted. Moreover some dark objects which could be mistaken for shadows are ruled out according to object properties and spatial relationship between objects. So we are introducing the Inner-Outer Outline Profile Line IOOPL matching is used for shadow removal. Inner Outer Outline Profile Line (IOOPL) matching obtained with respect to the boundary lines of shadows. Shadow removal is then performed based on the homogeneous sections attained through IOOPL. Similarity for matching we have to extract the Inner and Outer Outline Lines of the boundary of shadows. Thus grayscale values of the corresponding points of the Inner and Outer Outline Lines are indicated by the Inner-Outer Outline Profile Lines IOOPL.
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