Generation of reference data of 3D surface texture using the non-causal 2D AR model
Generation of reference data of 3D surface texture using the non-causal 2D AR model
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DOI：
10.1016/j.wear.2004.05.019
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发表时间：
2004-12
期刊：
影响因子：
5
通讯作者：
M. Uchidate;Tomoharu Shimizu;A. Iwabuchi;K. Yanagi
中科院分区：
文献类型：
--
作者：
M. Uchidate;Tomoharu Shimizu;A. Iwabuchi;K. Yanagi
本文提出了一种生成三维表面纹理参考数据的新方法--非因果2D AR模型。产生各种地形特征的规范参数是x和y方向的相关距离、决定自相关函数衰减模式的幂指数、均方根偏差、偏度和峰度。生成了各向同性曲面，并与以往研究中提出的因果2D AR模型的结果进行了比较。结果表明，非因果2D AR模型的误差小于因果2D AR模型的误差。还成功地生成了各向异性曲面和非高斯分布曲面。
In this paper, the non-causal 2D AR model was proposed as a new method for generation of reference data of the 3D surface texture. Specification parameters to engender various topographical properties were the correlation distances in the x and y directions, the power index which determined the decaying pattern of the auto-correlation function, the root mean deviation, the skewness and the kurtosis. Isotropic surfaces were generated and compared with results by the causal 2D AR model which has been proposed in the past researches. It was found that the error of generation by the non-causal 2D AR model was smaller than that by the causal 2D AR model. Anisotropic surfaces and non-Gaussian distributed surfaces were also generated successfully.