摘要
数字图像处理技术是在木材缺陷识别中应用最广泛的技术之一,具有准确、快速、无损和成本低等优点。本文阐述基于数字图像的木材缺陷识别技术的研究现状,分析图像预处理、分割、特征提取及融合、图像识别分类过程涉及的算法,并对每种方法的特点以及局限性进行总结,对未来研究的发展趋势进行展望。数字图像处理技术进一步走向自动化和智能化,还需要更深入的研究。
Digital image processing technology is one of the most widely used technologies in the identification of wood defects,which has the advantages of accuracy,rapidity,nondestructive,and low cost.With extensive literature research,this paper expounds the present status of studies on the wood defect recognition based on the digital image technology.The image preprocessing,segmentation,feature extraction and selection,and the algorithm involved in image recognition and classification process,were analyzed.The principles,characteristics,and existing limitations of each method were summarized.The trends of future research were discussed.Further study is needed on automation and artificial intelligent of digital image processing technology.
作者
丁安宁
贺春光
多化琼
秦彦平
袁云梅
DING An-ning;HE Chun-guang;DUO Hua-qiong;QIN Yan-ping;YUAN Yun-mei(College of Material Science and Art Design,Inner Mongolia Agricultural University,Hohhot 010018,Inner Mongolia,China;Department of Information Engineering Shanxi Institute of Applied Science and Technology,Taiyuan 030000,Shanxi,China)
出处
《木材科学与技术》
北大核心
2022年第1期9-16,28,共9页
Chinese Journal of Wood Science and Technology
基金
国家自然科学基金“蒙古族传统家具纹样的数字化分类研究”(31760185)。
关键词
数字图像
缺陷识别
木材缺陷
图像处理技术
digital image
defect identification
wood defects
image processing technology
