期刊文献+

适于描述木材纹理的灰度共生矩阵构造方法研究 被引量:3

Research on Building Method of GLCM Suitable to Wood Texture
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摘要 结合特征参数间相关性矩阵与木材纹理自身的特征,从灰度共生矩阵的11个特征参数中提取5个较独立的特征参数。利用可分性判据确定适于描述木材纹理的灰度共生矩阵构造因子取值(d=2,g=16)。 Combined correlation matrix of feature parameters with character of wood texture itself, 5 independent feature parameters were extracted from 11 feature parameters of GLCM. Building factors of GLCM, which is appropriate to describe wood texture, were confirmed by using the dissociable basis (d=2, g=16).
机构地区 东北林业大学
出处 《林业机械与木工设备》 2007年第6期19-21,共3页 Forestry Machinery & Woodworking Equipment
关键词 木材纹理 灰度共生矩阵 可分性判据 相关性 分类 wood texture GLCM dissociable basis correlation classification
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参考文献5

  • 1Haralick R M Statistical and Structural Approaches to Texture[J]. In Proceeding of IEEE, 1975,67 (5) : 786-804.
  • 2Robert MH Shanmugam K, Textural features for image classification [J]. IEEE, Transaction on Systems Man and Cybernetics, 1973, SMC-3(6) :610-621.
  • 3WangL, HeDC. Texture Classification Using Texture Spectrum [ J ].PatternRecognition, 1990, ( 23 ) : 905 -910.
  • 4边肇祺 张学工.模式识别[M].北京:清华大学出版社,2004..
  • 5吴逸飞.模式识别原理、方法及应用[M].北京:清华大学出版社,2002.

共引文献36

同被引文献15

  • 1李沁,田沛,吴保炜,高云霞.应用分形进行金属断口的识别分类[J].仪器仪表与分析监测,2005(4):19-21. 被引量:3
  • 2薄华,马缚龙,焦李成.图像纹理的灰度共生矩阵计算问题的分析[J].电子学报,2006,34(1):155-158. 被引量:203
  • 3K Komai, K Minoshima. Applications of Image Processing Technique to Fractography [ J]. J. Jpn. Inst. Light Met., 1992, 42:537.
  • 4K Komai, K Minoshima, S Ishii, Recognition of Different Fracture Surface Morphologies Using Computer Image Processing Technique [J]. JSME. Int. J. ,Ser. A, 1993, 36(2) :220.
  • 5K Minoshi, T. Nagosaki. Automatic Classification of Fracture Surface Morphology Using Computer Image Processing Technique[ J]. Jpn. Soe. Mesh. Eng., 1993. 373.
  • 6M H Bharati, J J Liu, G Mac. Image texture analysis: methods and comparisons[ J]. Chemo metrics & Intelligent Laboratory Systems, 2004,72( 1 ) :57 -65.
  • 7Anil K Jain. Statistical Pattern Recognition A Review[ J]. IEEE Transactions On Pattern Analysis And Machine Intelligence, January 2000, 22(1) :4 -37.
  • 8J Kamruzzaman, Y Kumagai, S Mahfuzul Ariz. Character recognition by double backpropagation neural network [ C ]. Proceedings of IEEE Region 10 Annual Conference Speech and Image Technologies for Computing and Telecommunications. 1997,22 (1) :411 -414.
  • 9张涛,孙林,黄爱民.图像分形维数的差分盒方法的改进研究[J].电光与控制,2007,14(5):55-57. 被引量:17
  • 10冯建辉,杨玉静.基于灰度共生矩阵提取纹理特征图像的研究[J].北京测绘,2007,21(3):19-22. 被引量:131

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