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模糊C-球壳聚类算法及其在血液细胞图像中的应用 被引量：1

Fuzzy C Spherical Shell Cluster Algorithm and an Application to Blood Cell I mage
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摘要 文章从经典的模糊C均值算法开始通过改变其中相似性的度量形式,介绍了一种模糊C球壳聚类(FCSS)算法。在将该算法应用于细胞显微图像半径统计时,采用基于形态学的图像预处理措施,可以获得FCSS算法中有关原型模式的知识,加快收敛速度并避免随机初始化造成的局部极小问题。 Fuzzy C spherical shell cluster algorithm is an extension of classic al f uzzy C means algorithm that established for clustering shell shape patterns.In an application to blood cell image processing,by several steps of proper proces sing of blood cell images using morphological operations,we thus obtain a prio r knowledge for the cluster prototypes,and training sets with spherical shell s hape.The number and radiuses of blood cells can be calculated with a few iterat ions using introduced approach.
作者 沈谦 王涛
机构地区 安徽大学 中国科学技术大学
出处 《微电子学与计算机》 CSCD 北大核心 2002年第12期34-36,共3页 Microelectronics & Computer
基金 国家自然科学基金资助项目(60271024) 安徽省教委科学基金资助项目(2000J1023)
关键词 模糊C-球壳聚类算法 血液细胞图像 临床检验 血液细胞检验 形态学 图像识别 计算机 相似性度量 细胞显微图像 Spherical shell clustering,Similarit y measure,Cell microscope image
分类号 R446.113 [医药卫生—诊断学] TP3 [自动化与计算机技术—计算机科学与技术]
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参考文献6

  • 1N B Karayiannis, P-I Pai. Fuzzy Vector Quantization Algorithms and Their Application in Image Compression. IEEE Trans. Image Processing, 1995, 4(9): 1193～1201.
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同被引文献12

  • 1Banfield J D, Raftery A E. Ice floe identification in satellite images using mathematical morphology and clustering about prieipal eurves[J]. Journal of the American Statistical Association, 1992,87:7 - 16.
  • 2Zhao X, Cui L R. Defect pattern recognition on nano/ micro integrated circuits wafer[C]//Proceedings of the IEEE International Conference of Nano/Micro Engineered and Molecular Systems. Bangkok, Thailand:[s. n. ], 2007, accepted.
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  • 4Dave R N. Generalized fuzzy C-shell clustering and detection of circular and elliptical boundaries[J]. Pattern Recognition, 1992,25(7): 713 - 721.
  • 5Hoeppner F. Fuzzy shell clustering algorithms in image processing., fuzzy C-rectangular and 2-reetangular shells [J]. IEEE Transactions on Fuzzy Systems, 1997,5(4): 599 -613.
  • 6Man Y, Gath I. Detection and separation of ring-shaped clusters using fuzzy clustering [J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 1994, 16(8):855 - 861.
  • 7Zhong S, Ghosh J. A unified framework for modelbased clustering[J]. Journal of Machine Learning Research, 2003(4) :1001 - 1037.
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  • 9Smyth P. Clustering sequences with hidden Markov models[M]. Massachusett, USA: MIT Press, 1997.
  • 10Ambroise C, Govaert G. Constrained clustering and kohonen self-organizing maps[J]. Journal of Classification, 1996,13:299- 313.

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微电子学与计算机
2002年 第12期

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