基于分形特征参数的原木缺陷CT图像处理  

Image Processing of Log Defects Based on Fractal Feature Parameters

作　　者：韩书霞[1] 戚大伟[1] 于雷[1] 

机构地区：[1]东北林业大学,哈尔滨150040

出　　处：《东北林业大学学报》2011年第6期108-111,共4页Journal of Northeast Forestry University

基　　金：国家林业局"948"项目(2011-4-18);黑龙江省自然科学基金重点项目(ZD201016)

摘　　要：用计算机断层扫描技术对原木进行无损检测,采用分形特征参数分析的方法对原木CT图像进行缺陷分析。首先计算图像各像素点的灰度,根据分形特征参数能反应灰度表面积随尺度变化的空间变化率这一特征进行缺陷识别。结果表明:这一方法对原木CT图像的缺陷检测具有良好的效果,并具有较好的局部性。The computed tomography（CT） technology was applied to wood nondestructive testing.A method for wood defect detection of CT images was analyzed by fractal feature parameter analysis.First,the grey scale of each pixel point was computed.Then the defect detection was made according to the spatial change rate of grey surface area with scales based on the fractal feature parameters.Experimental result shows that this method for defect detection of wood CT images is effective and has good locality.

关 键 词：分形 特征参数 原木CT图像 图像处理 

分 类 号：S781.3[农业科学—木材科学与技术] S77[农业科学—林学]