【摘要】 物体上的高光直接影响工业检测、模式识别和计算机视觉等领域中后续处理的算法性能。如何检测和消除图像中的高光区域一直是个热点问题。这里介绍了一种基于SURF的连续帧图像配准及高光去除的方法。首先,利用SURF特征检测及其特征描述方法,对连续帧图像进行自动配准;其次,在连续帧图像配准后,对图像进行融合;最后,输出去除高光的图像。实验表明:该方法用于消除或消弱高光区域有比较好的效果,有一定的理论和应用价值。更多还原

【Abstract】 Luster immediate influences the following algorithm performance in the field of Industry Detection、Pattern Recognition and Computer Vision. It is always the hot topic that how to detect and eliminate the luster region in the image. This article introduces a solution that Animation image registration and Luster removal image composition technology Based on SURF feature to eliminate the luster. Firstly, this paper register the animation images by the way of feature detection and feature description based on SURF; secondly, we fuse the images after matching; Finally, this paper output the fusing image. The experiment indicates that this method is good for eliminating the luster, and this solution has certain value in the field of theory and application.更多还原