标题: 以机器视觉为基础之内螺纹自动检测系统
Automated Internal Thread Inspection System Using Machine Vision
作者: 陈思翰
Chen, Ssu-Han
彭德保
Perng, Der-Baau
工业工程与管理学系
关键字: 内螺纹;硬式工业用内视镜;电脑视觉;条状性纹理;离散余弦转换;影像还原;internal thread;rigid industrial endoscope;machine vision;directional texture;discrete cosine transform;image restoration
公开日期: 2009
摘要: 由于内螺纹(Internal Thread)特殊的结构与空间位置的限制,目前尚未发现以机器视觉为基础的内螺纹检测机台。本研究发展一套光学螺纹塞规(Optical Thread Plug Gauge,OTPG),可对内螺纹工件进行非接触式的自动化检测。OTPG乃以硬式工业内视镜(Rigid Industrial Endoscope)及电荷耦合元件(Charge Coupled Device,CCD)组成取像光学模组,并透过触发器(Trigger)与两组马达控制单元(Motion Control Unit)搭配,逐步拼贴连续拍摄到的部分螺纹影像,以重建出360度内螺纹壁的二维全周影像图(Unwrapped Image),接着,运用影像处理技术、以离散余弦转换(Discrete Cosine Transformation,DCT)为基础之影像还原技术进行影像正规化、影像切割与瑕疵突显。OTPG可侦测出螺纹坡(Flank)上凸起状的刮痕(Scratch),以及螺峰(Crest)或螺谷(Root)上凹陷状的崩塌(Collapse)或裂痕(Flaw)。
This dissertation is to design and develop a novel optical thread plug gauge (OTPG) for internal thread inspection using machine vision. The OTPG is composed of a rigid industrial endoscope, a charge-coupled device (CCD) camera, and a two degree-of-freedom motion control unit. A sequence of partial wall images of an internal thread are retrieved and reconstructed into a two-dimensional unwrapped image. Then, a digital image processing, discrete cosine transformation-based image restoration scheme is used to normalize image, segment image, and enhance defect of the internal thread. The proposed OTPG provides an orientation-free and convenient method for detecting defects such as scratches, collapses, and flaws in an internal thread.
URI: http://140.113.39.130/cdrfb3/record/nctu/#GT079533813
http://hdl.handle.net/11536/41294
显示于类别:Thesis


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