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基于高斯-马尔可夫随机场模型的织物纹理特征参数提取方法
引用本文:贡玉南,华建兴,黄秀宝.基于高斯-马尔可夫随机场模型的织物纹理特征参数提取方法[J].东华大学学报(自然科学版),1999(2).
作者姓名:贡玉南  华建兴  黄秀宝
作者单位:中国纺织大学纺织学院!上海200051
摘    要:将高斯-马尔可夫随机场用于织物纹理的建模.在估计模型参数时,采用不完全 Cholesky共轭梯度法.获得特征参数后,通过纹理合成方法,仿真原始纹理图像.试验表明:仿真织物纹理图像与真实织物纹理图像具有较为一致的视觉效果,从而论证了高斯-马尔可夫随机场模型对织物纹理建模的有效性.

关 键 词:织物纹理  高斯—马尔可夫随机场模型  参数估计  约束优化  纹理生成

Feature Extraction of Fabric Texture Based on GMRF Models
Gong Yunan,Hua Jianxing,Huang Xiubao.Feature Extraction of Fabric Texture Based on GMRF Models[J].Journal of Donghua University,1999(2).
Authors:Gong Yunan  Hua Jianxing  Huang Xiubao
Abstract:Gauss - Markov random field model(GMRF) is introduced to fabric texture analysis. Incomplete Cholesky Conjugate Gradient Method is utilized for estimation of GMRF model parameters which are used as fabric texture features in texture analysis. After the model parameters have been acquired, they are used for synthesis of the crude fabric texture. Experiments show that the resulting simulated fabric texture image shares almost the same visual effects with the corresponding real fabric texture image. The fact proves the algorithms presented in the paper and the rationality of GMRF for texture modeling of fabric.
Keywords:fabric texture  GMRF model  parameter estimation  constrained optimization  texture synthesis  
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