Computer Engineering and Applications ›› 2011, Vol. 47 ›› Issue (32): 217-220.
• 图形、图像、模式识别 • Previous Articles Next Articles
DENG Tingquan,JIAO Yingying
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邓廷权,焦颖颖
Abstract: Evaluation for quality of image segmentation is an essential stage and has been extensively studied in image analysis and computer vision.In view of advantages of type-2 fuzzy sets in describing inaccuracy of objects,criteria for image segmentation evaluation are characterized by using type-2 fuzzy sets.Two kinds of fuzzy metric of type-2 fuzzy sets are introduced and a model is established to evaluate quality of image segmentation.Simulated experiments show the validity and practicability of the proposed model.
Key words: image segmentation evaluation, objectivity, type-2 fuzzy sets, fuzzy metric
摘要: 图像分割质量的评价是图像分割技术和算法研究的重要环节,在图像分析和计算机视觉中有着重要应用。依据二型模糊集在不精确性描述方面的独特优势,提出一种图像分割评判指标的二型模糊集表示方法,引入两种二型模糊集的模糊性度量作为图像分割质量的评判标准,构建图像分割质量评价模型。模拟实验验证了该模型的有效性和实用性。
关键词: 图像分割评价, 客观性, 二型模糊集, 模糊性度量
DENG Tingquan,JIAO Yingying. Evaluation of image segmentation based on type-2 fuzzy sets[J]. Computer Engineering and Applications, 2011, 47(32): 217-220.
邓廷权,焦颖颖. 图像分割质量评价的二型模糊集方法[J]. 计算机工程与应用, 2011, 47(32): 217-220.
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http://cea.ceaj.org/EN/Y2011/V47/I32/217