关键词: 木材纹理, 数据融合, 模拟退火算法, 灰度共生矩阵, 高斯-马尔可夫随机场

Abstract: In order to enhance the precision of wood texture recognition，a kind of wood surface texture recognition method is proposed，which uses Gray Level Co-occurence Matrix（GLCM） and Gaussian-Markov Random Field（GMRF） on feature level data fusion.First，two sorts of feature parameters above are extracted respectively.Next，two sorts of texture features are fused on the feature level by simulated annealing algorithm.With the fused features，the recognition rate of the integrated BP neural network to the wood textural samples reaches to 97.00%.The result indicates that to recognize wood with the fused features is quite effective.

Key words: wood texture, data fusion, stimulated annealing algorithm, Gray Level Co-occurence Matrix（GLCM）, Gaussian-Markov Random Field（GMRF）