Toward a generic evaluation of image segmentation
Toward a generic evaluation of image segmentation
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DOI：
10.1109/tip.2005.854491
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发表时间：
2005-11-01
影响因子：
10.6
通讯作者：
Corte-Real, L
中科院分区：
文献类型：
--
作者：
Cardoso, JS;Corte-Real, L
图像分割在广泛的应用中发挥着重要作用。评估给定应用的分割算法的充分性是必要的，既可以适当选择分割算法，也可以调整其参数以获得最佳性能。然而，客观的分割质量评估还远未成为一个已解决的问题。本文在简要回顾之前的工作后，介绍了分割评估的通用框架。提出了一种基于分割分区之间距离的度量来克服现有方法的一些限制。对称和非对称距离度量替代方案的出现是为了满足各种应用的特殊性。实验结果证实了所提出措施的潜力。
Image segmentation plays a major role in a broad range of applications. Evaluating the adequacy of a segmentation algorithm for a given application is a requisite both to allow the appropriate selection of segmentation algorithms as well as to tune their parameters for optimal performance. However, objective segmentation quality evaluation is far from being a solved problem. In this paper, a generic framework for segmentation evaluation is introduced after a brief review of previous work. A metric based on the distance between segmentation partitions is proposed to overcome some of the limitations of existing approaches. Symmetric and asymmetric distance metric alternatives are presented to meet the specificities of a wide class of applications. Experimental results confirm the potential of the proposed measures.