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MOTION-BASED REGION GROWING SEGMENTATION OF IMAGE SEQUENCES

机译:基于运动的图像序列增长分段

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摘要

This paper proposes a motion-based region growing segmentation scheme for the object-based video coding, which segments an image into homogeneous regions characterized by a coherent motion. It adopts a block matching algorithm to estimate motion vectors and uses morphological tools such as open--close by reconstruction and the region-growing version of the watershed algorithm for spatial segmentation to improve the temporal segmentation. In order to determine the reliable motion vectors, this paper also proposes a change detection algorithm and a multi-candidate pre-- screening motion estimation method. Preliminary simulation results demonstrate that the proposed scheme is feasible. The main advantage of the scheme is its low computational load.
机译:本文针对基于对象的视频编码提出了一种基于运动的区域增长分割方案,该方案将图像分割为具有相干运动特征的均匀区域。它采用块匹配算法来估计运动矢量,并使用形态学工具(例如,通过重建进行开闭)和分水岭算法的区域增长版本进行空间分割,以改善时间分割。为了确定可靠的运动矢量,本文还提出了一种变化检测算法和一种多候选预筛选运动估计方法。初步的仿真结果表明,该方案是可行的。该方案的主要优点是计算量低。

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