基于激光三角测距的锯材表面缺陷检测方法

发布时间：2018-03-31 13:40

本文选题：激光三角测距　切入点：木材表面缺陷　出处：《林业工程学报》2017年06期

【摘要】：为实现自动在线检测锯材表面钝棱和裂纹等缺陷,提出了一种全新的基于激光三角测距和计算机图像处理相结合的木材表面缺陷检测方法。激光发射器发射扇形光源至传送台上的试件表面,从另一角度由相机对试件表面的激光光斑进行成像。通过图像处理,能自动识别裂纹及钝棱缺陷轮廓线,并得到外材面材宽和裂纹宽度尺寸信息。以7块含钝棱的毛边锯材和7块含裂纹的锯材进行试验,结果表明:在入射激光线与物镜光轴的夹角为60°的情况下,锯材外材面宽度和裂纹宽度检测值与实际值的误差均值都不超过±1 mm,证实了研究提出的锯材表面缺陷检测模型及构建的检测装置的高精度和可靠性。该技术能为木材加工中的自动优选下锯提供基础数据,可用于锯材优选自动化加工生产线。
[Abstract]:A new method based on laser triangulation and computer image processing was proposed to detect the defects of wood surface such as blunt edges and cracks on the surface of sawwood.The laser emitter emits a sector light source to the surface of the specimen on the transmission platform. From another angle, the laser spot on the sample surface is imaged by the camera.By image processing, the crack and blunt-edge defect contour can be automatically identified, and the information of the width of the surface and the width of the crack can be obtained.The experimental results show that the angle between the incident laser line and the optical axis of the objective lens is 60 掳, when the angle between the incident laser line and the optical axis of the objective lens is 60 掳, and 7 pieces of wood with dull edges and 7 pieces of saw timber with cracks are tested.The average error between the surface width and crack width of sawwood is less than 卤1 mm, which proves the high accuracy and reliability of the proposed model and the testing device.This technology can provide the basic data for the automatic optimal selection of saw in wood processing, and can be used in the automatic processing line of the optimal selection of timber.
【作者单位】：南京林业大学材料科学与工程学院;
【基金】：江苏省科技支撑计划项目(BN2015142)
【分类号】：S781.5;TP391.41

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