基于合并准则和测地膨胀重构的视频目标分割  

Video Object Segmentation Based on Merging Criterion and Geodesic Dilation

作　　者：马丽红[1] 陈晓棠[1] 张宇[2] 

机构地区：[1]华南理工大学电子与通信工程系,广东广州510641 [2]华南理工大学计算机所,广东广州510641

出　　处：《电视技术》2004年第3期21-24,共4页Video Engineering

基　　金：国家自然科学基金60372068资助项目;广东省自然科学基金011628资助项目

摘　　要：提出具有鲁棒性的时空域视频目标分割方案:先用改进分水岭算法和合并准则作空域分割,产生初始I-帧分割,接着选择测地膨胀的掩模和标记图像来重构目标,以目标的每一轮廓像素构造边缘块,投影至下一帧中提取闭合目标轮廓。经多个视频序列实验证明,算法是行之有效的,而且适用于快速运动和部分遮挡的目标分割。This paper suggests a robust spatial-temporal segmentation scheme. Spatial partition in I-frame is first implemented by a modified watershed transform and a region merging based on a new criterion. Every VO region is filled in by a geodesic reconstruction. Edge blocks centered at each pixel of VO contours will then be projected to the next frame to get closed VOs in other frames. Experiments on multiple sequences show that the algorithm is feasible and it is applicable to the segmentation of high speed and partially-kept-out object.

关 键 词：合并准则 视频图像 分割算子 测地膨胀 分水岭算法 

分 类 号：TN941.1[电子电信—信号与信息处理]