Background Cut Algorithm Leaving Illumination Infection
消除光照影响的背景减除算法

In order to extract object from images correctly and to ensure good results under illumination changing between images, a new background cut algorithm is proposed. First, an improved graph cut method is used to enhance the cutting results. Then the color and contrast attenuation models are presented to replace the color term and the contrast term in energy function which will reduce the infection due to illumination. Finally, we use morphology operation and holes filling methods to increase the final effect. Experimental results indicate that this algorithm is more effective than traditional background cut algorithms especially when the source image and the background image hold different illuminations or when light is covered by the object. It can satisfy the system requirements of extracting object in complex environments.