林业科学Issue(8)：126-130,5.DOI:10.11707/j.1001-7488.20140818
原木内部孔洞缺陷二维超声图像构建
Two Dimensional Image Construction of Ultrasonic Wave for Detecting Internal Hole Defect in Log
摘要
Abstract
The ultrasonic propagation parameters in amur linden( Tilia amurensis) log specimen which was in intact and defective status respectively were measured and obtained. These parameters were then used as training set and test set to classify the hole size in log based on support vector machine ( SVM ) . Furthermore,a kind of method to quantitatively determine the location of defect point on the cross section of log was proposed and improved. Based on this,the two dimensional simulation image of internal hole defect in log was constructed. The results showed that:1) It was feasible to classify the hole size in log using SVM and the identification accuracy was 84. 78%. 2 ) The two dimensional simulation image of hole defect in the cross section was in good agreement with the actual image of log specimen.关键词
超声波/原木/支持向量机/无损检测/图像构建Key words
ultrasonic wave/log/support vector machine( SVM)/nondestructive test/image construction分类
农业科技引用本文复制引用
徐华东,王立海,宋世全..原木内部孔洞缺陷二维超声图像构建[J].林业科学,2014,(8):126-130,5.基金项目
国家林业“948”项目(2014-4-78) （2014-4-78）
国家自然科学基金青年项目(31300474) （31300474）
中国博士后科学基金资助项目(2014M551203) （2014M551203）
中央高校基本科研专项资金(DL12BB18)。 （DL12BB18）
