Computer Engineering and Applications ›› 2011, Vol. 47 ›› Issue (32): 217-220.

• 图形、图像、模式识别 • Previous Articles     Next Articles

Evaluation of image segmentation based on type-2 fuzzy sets

DENG Tingquan,JIAO Yingying   

  1. College of Science,Harbin Engineering University,Harbin 150001,China
  • Received:1900-01-01 Revised:1900-01-01 Online:2011-11-11 Published:2011-11-11

图像分割质量评价的二型模糊集方法

邓廷权,焦颖颖   

  1. 哈尔滨工程大学 理学院,哈尔滨 150001

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