自适应带宽中值偏移视频图像分割研究  

Adaptive Bandwidth Mean Shift for Video Image Segmentation

作　　者：彭铁根[1] 黄宴委[1] 吴惕华[1] 

机构地区：[1]上海交通大学自动化系,上海200030

出　　处：《系统仿真学报》2005年第9期2115-2117,2133,共4页Journal of System Simulation

摘　　要：一种新的非参数估计算法——基于交叉置信区间(ICI)规则的自适应带宽中值偏移(ABMS)算法应用到视频图像平滑和分割过程中,以有效去除图像的噪声和微纹理信息并保留图像中物体的轮廓结构特征。在中值偏移算法中应用ICI规则和采样点估计器确定自适应带宽参数,得到中值偏移向量并实现图像中的象素聚类。与此同时,融合图像块运动特征,抽取视频运动对象。实验和仿真结果验证了该方法的有效性。A new nonparametric estimation method called adaptive bandwidth mean shift （ABMS） algorithm is applied to realizing image smoothing and segmentation, which removes noises and trivial texture and preserves the structural features of the image objects. The intersection of confidence intervals （ICI） rule and the sample point density estimator in ABMS algorithm were used to determine the smoothing bandwidth and obtain the mean shift vector of each pixel in the video image. Along the direction of this vector, image was smoothed and the pixels were clustered to several blocks. At the same time, the motion features of the image blocks were fused and the object was extracted from the video sequence. The experiments and simulations verify the efficiency of the proposed method.

关 键 词：ICI规则 中值偏移 非参数估计 自适应带宽 图像分割 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]