A Shadow Detection and Removal from a Single Image Using LAB Color Space
نویسندگان
چکیده
Due to obstruction by an object light from a source cannot reach the area and creates shadow on that area. Shadows often introduce errors in the performance of computer vision algorithms, such as object detection and tracking. Thus shadow detection and removal is a pre-processing task in these fields. 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 and shadow removal method is based on the identification of the amount of light impinging on a surface. The lightness of shadowed regions in an image is increased and then the color of that part of the surface is corrected so that it matches the lit part of the surface. The advantage of our method is that removing shadow does not affect the texture and all the details in the shadowed regions.
منابع مشابه
Shadow Detection and Removal from a Single Image Using LAB Color Space
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 visio...
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