期刊文献+

彩色图像的聚类分析在地板砖质量检测中的应用 被引量:1

Floor-tile Quality Control by Using Color Image Cluster Analysis
下载PDF
导出
摘要 针对地板砖色差检测的问题,基于统计方法的模式识别理论,提出一种以彩色图像的聚类分析代替人工色差检验的方法。该方法以地板砖彩色图像为研究对象,提取颜色和纹理作为其描述特征,并在此分析基础上,以改进的集合覆盖算法进行聚类分析——该算法用类内最小距离最大的原则选取初始聚类中心,用重心法完成聚类识别。最后用实验结果证明了该方法的可行性和有效性。 The paper provided questions from the different color detection of floor-tile and presented a method that use color image cluster analysis as a substitute of manual detection. The method extracts color and texture as its characteristics description based on color image, selects the initial cluster center the principle of maximizing minimum discrepancy on the basis of SCA algorithm, and completes clustering with Center of Gravity Method. The experimental results show that the method is useful, rapid and satisfactory.
作者 林森
出处 《微型电脑应用》 2009年第11期34-35,5,共2页 Microcomputer Applications
关键词 聚类分析 彩色图像 色差 集合覆盖算法 Cluster analysis Color image Color difference SCA
  • 相关文献

参考文献5

  • 1Rafael C. Gonzalez, Richard E. Woods. Digital Image Processing, Second Edition [M].北京:电子工业出版社,2002:665-672.
  • 2Linde Y, Buzo A, Gray R M. An algorithm for vector quantizer design [J]. IEEE Trans on Commun, 1980, COMM-28:84-89.
  • 3Karnel M S, Selim Z. New algorithms for solving the fuzzy clustering problem [ J ]. Pattern Recognition, 1994; 27(3):421-428.
  • 4[美]科尔曼(Corrmen T H).算法导论[M].2版影印版.北京:高等教育出版社,2002.5:1033-1039.
  • 5姜园,张朝阳,仇佩亮,戚玉鹏.对聚类算法普遍存在问题的解决办法[J].电路与系统学报,2004,9(3):92-99. 被引量:10

二级参考文献68

  • 1刘静,钟伟才,刘芳,焦李成.免疫进化聚类算法[J].电子学报,2001,29(z1):1868-1872. 被引量:43
  • 2钱云涛,谢维信.一种由模糊逻辑神经元网络实现的聚类分析方法[J].西安电子科技大学学报,1995,22(1):1-7. 被引量:12
  • 3Barbara D, Chen P. Using the fractal dimension to cluster datasets [A]. Proceedings of the 6th ACM SIGKDD [C]. Boston, MA., 2000, 260-264.
  • 4Kandogan E. Visualizing multi-dimensional clusters, trends and outliers using star coordinates [A]. Proceedings of the 7th ACM SIGKDD [C]. San Francisco, CA., 2001, 107-116.
  • 5Bezdek J C. Pattern Recognition With Fuzzy Objective Function Algorithms [M]. New York: Plenums Press, 1981, 95-107.
  • 6Pal N R, Bezdek J C. On Cluster Validity for the Fuzzy C-Means Model [J]. IEEE Trans on Fuzzy System, 1995, 3(3): 370-379.
  • 7Engleman L, Hartigan J. Percentage points of a test for clusters [J]. Journal of the American Statistical Association, 1969, 64: 1647-1648.
  • 8Millgan G, Cooper M. An examination of procedures for determining the number of clusters in a data set [J]. Psychometrika, 1985, 50: 159-179.
  • 9史忠植 刘少辉 郑毅 傅伟鹏 吴斌.一种基于群体智能的Web文档聚类算法[J].计算机研究与发展,2003,39(11).
  • 10Knorr E, Ng R. Algorithms for mining distance-based outliers in large datasets [A]. Proceedings of the 24h Conference on VLDB [C]. New York, 1998, 392-403.

共引文献9

同被引文献6

引证文献1

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部