关键词: 自然纹理, 木材, 高斯-马尔可夫随机场, 特征提取, 分类

Abstract: In order to establish the parameters system to describe natural texture，wood texture is adopted as the classic research objects.Parameters of 5-rank GMRF are extracted and parameters optimization and selection are carried on with an improved simulated annealing algorithm to reduce the computational complexity.So the parameter system based on GMRF is constructed and put into classifier to carry on classification.The result is that the classification and recognition ratio of integrated neural network reaches to 94.0% and the near neighbor classifier reaches to 91.0%，which indicate that realizing the classification and recognition of wood texture based on this GMRF parameter system is feasible.This parameter system can also be used to describe natural wood texture which is similar to wood texture.

Key words: natural texture, wood, Gaussian Markov Random Field（GMRF）, feature extraction, classification