基于机器视觉的家具板件尺寸在线测量系统
A machine Vision System for Measuring Dimensions of Furniture Panels
- 2021年35卷第2期 页码:63-67
DOI: 10.12326/j.2096-9694.2020080
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1.广东理工学院机器视觉与智能检测工程技术研究中心,广东肇庆 526100
2.四川大学机械工程学院,四川成都 610065
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邓斌攸,潘云峰,池志强等.基于机器视觉的家具板件尺寸在线测量系统[J].木材科学与技术,2021,35(02):63-67.
DENG Bin-you,PAN Yun-feng,CHI Zhi-qiang,et al.A machine Vision System for Measuring Dimensions of Furniture Panels[J].Chinese Journal of Wood Science and Technology,2021,35(02):63-67.
提出一种家具板件几何尺寸测量机器视觉系统,采用两级成像排除板件的颜色、纹理、图案、标识和表面缺陷等对图像质量的影响,并利用线性聚焦光源、线扫描相机和编码器获取高对比度、轮廓清晰的板件图像。在此基础上,设计图像处理软件、提取出板件的几何要素,进而计算出板件的长度、宽度、对角线等15个尺寸参数。工厂应用测试结果表明,检测系统的速度和重复精度均高于人工测量,在测量误差±0.5 mm范围内,系统测量值与人工测量值的平均吻合度达到95%以上。
A machine vision system for measuring furniture panel dimensions was presented in this paper. To eliminate the effects of panel colours, textures, patterns, logos and surface defects, a two-steps imaging system was employed. The images with high contrast and sharp outlines were obtained by applying line-focused illuminate lights, a line-scan camera and an encoder. An image processing software, which extracts and measures the panel geometric dimensions was designed accordingly. 15 parameters including the panel length, the width, and the diagonal were calculated by the software. The machine vision system was tested in a manufactory line. The results showed the on-line inspection speed and the repeat accuracy of the system are higher comparing to the manual measurement of furniture panels. The average match level between the machine vision system measuring and manual measuring results reached up to 95% within the measurement error range of ± 0.5 mm.
板件尺寸测量图像处理机器视觉成像系统
panel size measurementimage processingmachine visionimaging system
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