摘要
锯材表面缺陷对锯材的质量和性能有着重要的影响。设计了基于机器视觉的锯材表面缺陷自动检测系统和计算机软件检测识别方法,确定了主要参数。通过对锯材表面图像的主要缺陷进行统计分析,综合评价整根锯材。检测系统的硬件主要由传送机构、电控系统、图像采集控制、分等系统等部分组成。软件主要由图像采集、图像处理、缺陷统计分析等部分组成。
Sawn-timber surface defects have an important impact on lumber quality and performance. Authors of this paper design an automatic detection system for the sawn-timber surface defects based on machine vision. The methods for detection and identification of computer software have been designed and the main parameters have been determined. Through statistical analysis of major defects of the sawn-timber image, the entire sawn-lumber can be comprehensively evaluated. The hardware of the detection system includes the transport mechanism, electronic control system, image acquisition and control, and grading system. The software mainly consists of image acquisition, image processing, and the statistical analysis of defects.
出处
《林产工业》
北大核心
2013年第1期21-24,共4页
China Forest Products Industry
基金
中国林业科学研究院林业新技术研究所
中央级公益性科研院所基本科研业务费专项资金(CAFINT2010C09)
国家林业局森林资源管理司委托项目2010-4-19
关键词
锯材
表面缺陷
图像处理
检测系统
Sawn-timber
Image processing
Surface defect
Detection system
