Cardoso Jaime S, Corte-Real Luís
Departamento de Engenharia Electrotécnica e de Computadores, Faculdade de Engenharia, Universidade do Porto/INESC Porto, Portugal.
IEEE Trans Image Process. 2005 Nov;14(11):1773-82. doi: 10.1109/tip.2005.854491.
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.
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适用性，对于选择合适的分割算法以及调整其参数以实现最佳性能都是必要的。然而，客观的分割质量评估远未成为一个已解决的问题。在本文中，在简要回顾先前工作之后，引入了一个通用的分割评估框架。提出了一种基于分割分区之间距离的度量，以克服现有方法的一些局限性。提出了对称和非对称距离度量的替代方案，以满足广泛应用类别的特殊性。实验结果证实了所提出方法的潜力。
