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首页> 外文期刊>IEEE Transactions on Pattern Analysis and Machine Intelligence >An adaptive contour closure algorithm and its experimental evaluation
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An adaptive contour closure algorithm and its experimental evaluation

机译：自适应轮廓闭合算法及其实验评估

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摘要

The potential of edge-based complete image segmentation into regions has not gained the due attention in the literature thus far. The present paper attempts to explore this potential by proposing an adaptive grouping algorithm to solve the contour closure problem that is the key to a successful edge-based complete image segmentation. The effectiveness of the proposed algorithm is extensively tested in the range image domain and compared to several region-based segmentation methods within a rigorous comparison framework. On three range image databases of varying quality acquired by different range scanners, it is shown that the proposed approach is able to achieve very appealing performance with respect to both segmentation quality and computation time.
机译：迄今为止，基于边缘的完整图像分割为区域的潜力尚未获得应有的关注。本文试图通过提出一种自适应分组算法来解决轮廓闭合问题，这是成功的基于边缘的完整图像分割的关键，以探索这种潜力。所提出算法的有效性在距离图像域中进行了广泛测试，并与严格的比较框架内的几种基于区域的分割方法进行了比较。在由不同距离扫描仪获取的不同质量的三个距离图像数据库上，表明所提出的方法在分割质量和计算时间方面都能够实现非常吸引人的性能。

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