摘要：

利用传统均值漂移(MS)算法进行图像滤波时,会将噪点拟定为图像边缘,使得图像内的噪点被保留。针对该问题,设计一种新型简化双边滤波方法(ANBF),并结合MS算法,提出一种改进型MS图像滤波算法。ANBF算法采用核函数先对噪点进行查找,形成确定的噪点标识图,通过标识图定位噪点,进行噪点滤波。MS算法采用核函数实现图像模点查找,依据模点进行图像平滑滤波。将ANBF算法嵌入传统MS算法中,以改进MS算法噪点消除能力。实验结果表明,与传统MS图像滤波算法相比,改进算法能有效克服MS算法噪点消除能力弱的问题,具有较高的噪点消除率。

关键词: 均值漂移, 核函数, 双边滤波, 噪点消除, 噪点查找

Abstract: The image filtering experiment shows that the traditional Mean Shift(MS) algorithm regards noise pixel as image edge,so that the noise pixel is retained.Aiming at this problem,the paper designs a new simplified bilateral filtering method(ANBF),which is combined with the MS algorithm,and proposes an improved MS algorithm for image filtering.Kernel function is used firstly in the ANBF to find the noise and generate marking graph.Then ANBF locates and eliminates the noise according to marking graph.The MS algorithm uses the kernel function to find image mold,and then eliminates the noise according to image mold.The ANBF algorithm is embedded in traditional MS algorithm to improve MS algorithm for noise elimination capacity.Experimental results show that compared with the traditional MS image filtering algorithm,this algorithm can effectively overcome the MS algorithm’s weakly eliminating noise ability,and has higher noise eliminating rate.

Key words: Mean Shift(MS), kernel function, bilateral filtering, noise eliminating, noise searching

中图分类号: 

• TP751.1