一种快速保边的图像对象分割方法  

A Fast Boundary-Preserving Method for Image Object Segmentation

作　　者：刘陈[1] 王欣欣[1] 李凤霞[1] 赵相坤[1] 

机构地区：[1]北京理工大学计算机学院,北京100081

出　　处：《北京理工大学学报》2010年第2期183-187,共5页Transactions of Beijing Institute of Technology

基　　金：国家部委基金资助项目(B2220061084;513040103)

摘　　要：提出一种快速保边的交互式图像对象分割方法.该方法基于图割优化,建立了从整体分割到局部细化的两步骤优化过程.整体分割采用超像素代替像素表示图像,在保留了绝大部分图像边界特征的同时降低了优化计算的复杂度,且通过结合交互中包含的对象形状、外观和图像梯度信息,保证了分割结果区域和边界的完整性.局部细化针对某段边界局部范围内的像素,通过局部采样更新外观模型来改善分割结果的边界质量.实验结果验证了方法的正确性和有效性.A fast boundary-preserving method for interactive image object segmentation is proposed.It is based on the graph-cut framework,and establishes a two-step optimization procedure from global segmentation to local refinement.In the global stage,pixels are replaced by superpixels which preserve necessary image boundary properties and largely reduce the computational complexity.The shape prior knowledge of object is introduced and coupled with traditional appearance and gradient information to guarantee the region and boundary wholeness of global result.For a boundary segment which needs to be refined,the local refinement uses the local appearance model updated by local sampling to rectify errors within its local area experimental.Results prove the correctness and effectiveness of the proposed method.

关 键 词：图像对象分割 超像素预处理 图割 高斯混合模型 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]