节点文献
基于激光扫描成像技术的锯材裂缝和孔洞缺陷视觉识别系统
Locating and identifying splits and knots on sawn lumber by a laser scanning technology
【摘要】 利用激光扫描技术形成了待检测材面的轮廓信息,把激光位移传感器输出的轮廓距离信息转换成图像的象素值而形成轮廓图像。根据裂缝和孔洞缺陷的形状特征,在统计的基础上提取了裂缝和孔洞缺陷的四个识别特征,并在此基础上开发了用于裂缝和孔洞缺陷识别的八条规则。结果表明,所开发的基于激光扫描成像技术基础上的锯材裂缝和孔洞缺陷的视觉识别系统不仅可以正确表征裂缝和孔洞等厚度缺陷信息,而且该系统能够精确地定位和分类上述缺陷。
【Abstract】 We have developed a laser scanning system to detect the splits and the holes based on their thickness, which correlates spatially with the profile information.The displacements measured by the laser sensor were converted to pixel values to generate the displacement profile image.Both the splits and the holes manifested well in the image.A dedicated image-processing program written in Visual Basic has been developed.The defects regions were accurately located by the image processing.To identify the defects, eight recognition rules based on four features have been utilized.Furthermore, a method based on the pixel model was proposed to compute the area of the defect.The results indicated that the defects could be identified correctly, and the areas could be computed accurately by using the pixels model.
【Key words】 wood defects; sawn lumber; image processing; machine vision;
- 【文献出处】 木材加工机械 ,Wood Processing Machinery , 编辑部邮箱 ,2008年05期
- 【分类号】TP391.41
- 【被引频次】1
- 【下载频次】144