文件名称:ResearchonBuildingMethodofGLCMSuitabletoWoodTextur
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- 图形图像处理(光照,映射..)
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- 2012-11-26
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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) 。-Combination of characteristic parameters of inter-correlation matrix with the wood texture of its own features, from the gray level co-occurrence matrix of the 11 feature parameters extracted five more independent of the characteristic parameters. Separability criterion to determine the use of suitable descr iption of the gray wood texture co-occurrence matrix structure factor values (d = 2, g = 16).
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) 。-Combination of characteristic parameters of inter-correlation matrix with the wood texture of its own features, from the gray level co-occurrence matrix of the 11 feature parameters extracted five more independent of the characteristic parameters. Separability criterion to determine the use of suitable descr iption of the gray wood texture co-occurrence matrix structure factor values (d = 2, g = 16).
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ResearchonBuildingMethodofGLCMSuitabletoWoodTexture.pdf