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利用云模型和数据场的图像分割方法

, PP. 397-405

Keywords: 图像阈值化,认知物理学,不确定性,云模型,数据场

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Abstract:

针对图像自动分割中的最优阈值选择问题,提出一种基于云模型和数据场的图像分割方法。该方法引入数据场实现图像灰度值特征空间到数据场势值空间的非线性映射,设定两个不同的质量函数分别形成相对数据场和绝对数据场。利用两类数据场的特点,结合全局和局部统计特征获得自适应势阈值对图像像素进行划分,产生图像潜在的背景或目标像素集合。进一步由逆向云发生器算法产生图像背景和目标的云模型表示,根据图像像素隶属于背景、目标云模型的程度,采用极大判定法则得到最终的分割结果。实验结果表明,该方法的分割效果较好、性能稳定,具有合理性和有效性。

References

[1]  Zhang Yujin.Image Segmentation.Beijing,China: Science Press,2001 (in Chinese)(章毓晋.图像分割.北京:科学出版社,2001)
[2]  Snyder W E,Qi Hairong.Machine Vision.Cambridge,UK: Cambridge University Press,2004
[3]  Zhang Yujin.Image Engineering.2nd Edition.Beijing,China: Tsinghua University Press,2007 (in Chinese)(章毓晋.图像工程.第2版.北京:清华大学出版社,2007)
[4]  Otsu N.A Threshold Selection Method from Gray-Level Histograms.IEEE Trans on Systems,Man and Cybernetics,1979,9(1): 62-66
[5]  Cho K,Meer P.Image Segmentation from Consensus Information.Computer Vision and Image Understanding,1997,68(1): 72-89
[6]  Martin A,Laanaya H,Arnold-Bos A.Evaluation for Uncertain Image Classification and Segmentation.Pattern Recognition,2006,39(11): 1987-1995
[7]  Martin A.Fusion for Evaluation of Image Classification in Uncertain Environments // Proc of the 9th International Conference on Information Fusion.Florence,Italy,2006: 1-8
[8]  Sinha D,Laplante P.A Rough Set-Based Approach to Handling Spatial Uncertainty in Binary Images.Engineering Applications of Artificial Intelligence,2004,17(1): 97-110.
[9]  Bustince H,Barrenechea E,Pagola M,et al.Comment on: “Image Thresholding Using Type II Fuzzy Sets”.Importance of this Method.Pattern Recognition,2010,43(9): 3188-3192
[10]  Bustince H,Pagola M,Jurio A,et al.A Survey of Applications of the Extensions of Fuzzy Sets to Image Processing // Proc of the 2nd International Conference on Rewriting Techniques and Applications.Bordeaux,France,2009: 3-32
[11]  Tizhoosh H R.Image Thresholding Using Type II Fuzzy Sets.Pattern Recognition,2005,38(12): 2363-2372
[12]  Tizhoosh H R.Type II Fuzzy Image Segmentation.Studies in Fuzziness and Soft Computing,2008,220: 607-619
[13]  Vlachos I K,Sergiadis G D.Comment on Image Thresholding Using Type II Fuzzy Sets.Pattern Recognition,2008,41(5): 1810-1811
[14]  Zhao Feng,Fan Jiulun.On Image Segmentation Method Combining 2D Otsus Method and Fuzzy Entropy.Application Research of Computers,2007,24(6): 189-191 (in Chinese)(赵 凤,范九伦.一种结合二维Otsu法和模糊熵的图像分割方法.计算机应用研究,2007,24(6): 189-191)
[15]  Qin Kun,Li Deyi,Xu Kai.Image Segmentation Based on Cloud Model.Journal of Geomatics,2006,31(5): 3-5 (in Chinese)(秦 昆,李德毅,许 凯.基于云模型的图像分割方法研究.测绘信息与工程,2006,31(5): 3-5).
[16]  Wu Tao,Qin Kun.Comparative Study of Image Thresholding Using Type-2 Fuzzy Sets and Cloud Model.International Journal of Computational Intelligence Systems,2010,3(Z1): 61-73
[17]  Xu Kai,Qin Kun,Huang Bohe,et al.A New Method of Region Based Image Segmentation Based on Cloud Model.Journal of Image and Graphics,2010,15(5): 757-763 (in Chinese) (许 凯,秦 昆,黄伯和,等.基于云模型的图像区域分割方法.中国图象图形学报,2010,15(5): 757-763)
[18]  Wu Tao,Qin Kun,Ou Leihai.Data Field-Based Method for Image Segmentation with Two-Dimension Threshold.Journal of South China University of Technology: Natural Science Edition,2010,38(11): 128-134 (in Chinese)(吴 涛,秦 昆,区磊海.图像二维阈值分割的数据场方法.华南理工大学学报:自然科学版,2010,38(11): 128-134)
[19]  Qin Kun,Ou Leihai,Wu Tao,et al.Image Segmentation Based on Data Field and Cloud Model [EB/OL].[2010-08-07].http://dx.doi.org/10.1117/12.866958
[20]  Li Deyi,Liu Changyu,Gan Wenyan.A New Cognitive Model: Cloud Model.International Journal of Intelligent Systems,2009,24(3): 357-375
[21]  Li Deyi.Uncertainty in Knowledge Representation.Engineering Science,2000,2(10): 73-79 (in Chinese)(李德毅.知识表示中的不确定性.中国工程科学,2000,2(10): 73-79)
[22]  Li Deyi,Meng Haijun,Shi Xuemei.Membership Clouds and Membership Cloud Generators.Journal of Computer Research and Development,1995,32(6): 15-20 (in Chinese)(李德毅,孟海军,史雪梅.隶属云和隶属云发生器.计算机研究与发展,1995,32(6): 15-20)
[23]  Gan Wenyan,He Nan,Li Deyi,et al.Community Discovery Method in Networks Based on Topological Potential.Journal of Software,2009,20(8): 2241-2254 (in Chinese)(淦文燕,赫 南,李德毅,等.一种基于拓扑势的网络社区发现方法.软件学报,2009,20(8): 2241-2254)
[24]  Gan Wenyan,Li Deyi,Wang Jianmin.An Hierarchical Clustering Method Based on Data Fields.Acta Electronica Sinica,2006,36(2): 258-262 (in Chinese)(淦文燕,李德毅,王建民.一种基于数据场的层次聚类方法.电子学报,2006,36(2): 258-262)
[25]  Li Deyi,Du Yi.Artificial Intelligent with Uncertainty.Beijing,China: National Defense Industry Press,2005 (in Chinese)(李德毅,杜 鹢.不确定性人工智能.北京:国防工业出版社,2005)
[26]  Gonzalez R C,Woods R E.Digital Image Processing.3rd Edition.Upper Saddle River,USA: Prentice Hall,2008
[27]  Arifina A Z,Asano A.Image Segmentation by Histogram Thresholding Using Hierarchical Cluster Analysis.Pattern Recognition Letters,2006,27(13): 1515-1521
[28]  Wang Z,Bovik A C,Sheikh H R,et al.Image Quality Assessment: From Error Measurement to Structural Similarity.IEEE Trans on Image Processing,2004,13(4): 600-612

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