Abstract: At present,the monitoring system by means of real-time video has been widely used,which can extract inland parameters such as ship traffic,etc. while the main methods of shadow detection are often difficult to effectively segment the foreground and shadow because of similar color and texture information in the border region. Through analyzing the LBP texture invariance and HSV color feature extraction principle of shadow, a novel ship shadow elimination is proposed.Chromacity information is first used to create a mask of candiate shadow pixels,follwed by employing improved Local Binary Pattern(LBP) in extracting texture information to remove foregroud pixels that were incorrectly included in the mask, and then applying gradient amendent to obtain a ultimate shadow.Experiments indicate that the proposed algorithm can effectively remove the shadow of the ship, improve the ship's Matching Pursuit accuracy and real-time capability,and final shadow detection comprehensive index F is up to 92%.

Key words: video surveillance, image processing, shadow elimination, HSV color space, local binary pattern, gradient amendent