摘要(英) |
The main purpose of this study is to construct a non-contacted automated optical inspection and using this system to inspect the surface structure and to quantify the defect of grinding disc. This inspection system includes LED illumination device, industrial camera and a personal computer.
Using digital image process with C++ program based on OpenCV designed by ourselves, Grinding disc surface defects inspection are divided into four parts, dimension, mesh, density and crack respectively, Second, each experiment that simulate automated manufacture for fit problem of manufacturing carried out repetitive experimental, Third, measure and quantify the defect of grinding disc, Fourth, set the threshold to distinguish which grinding disc is good.
Cause grinding disc’s surface are complicated, this system focus on how to reduce high frequency noise, and using Fourier transform to solve this problem, and According to each experimental needs, use image process technique like space filter, median filter, Fourier transform, edge detection, feature detection...and so on, to achieve the automated optical inspection.
This study will be used on quality control of grinding disc of automated manufacture, to reduce the waste of human resource and to cost down, and to avoid the damage when someone is using their eye to inspect the quality of grinding disc, thus, developing this kind of automated optical inspection system into automated manufacture will increase accuracy of inspection and bring in lots of revenue.
Keyword: Computer vision, Automated Optical inspection(AOI), Grinding disc, Defect inspection |
參考文獻 |
參考文獻
[1] Chen,Ying-yun, Non-contact Optical Measurement used in the Biomedical field (2015) [p.17~p.18]
[2] Dorsch, R.G.; Häusler, G.; Herrmann, J.M. Laser triangulation: fundamental uncertainty in distance measurement. Applied Optics (1994) [p.1306~p.1314]
[3] Phillips, Joseph. Quality Control in Project Management(2008). Available from The Project Management Hut.
[4] Rafael C.Gonzalez and Richard E. Woods,Digital Image Processing(2008).2nd edition.繆紹鋼編譯.[p3~p29]
[5] Tinku Acharya and Ajoy K. Ray (2005), Image Processing: Principles and Application [p.1~p.6]
[6] Øyvind Kolås, Image Processing with gluas: introduction to pixel molding(2007), Chapter.1 Digital image representation.
[7] James D. Murray; William vanRyper. Encyclopedia of Graphics File Formats(April 1996) ,2nd Edition
[8] MSDN, Bitmaps, Microsoft Windows bitmap image file
[9] Steven W.smith, Ph.D.,The Scientist and Engineer’s Guide to Digital Signal Processing(1997).2nd edition[chap.27]
[10] William K. Pratt, Digital Image Processing: PIKS Inside, 3rd Edition.[p.63~p.87]
[11] 毛星雲、冷雪飛, OpenCV程式設計參考手冊(2015) [p4-5~p4-6]
[12] William K. Pratt, Digital Image Processing: PIKS Inside, 3rd Edition.[p.245~p.247]
[13] Rafael C.Gonzalez and Richard E. Woods(2008),Digital Image Processing.2nd edition.繆紹鋼編譯.[p91~p92]
[14] Mert Rory Sabuncu(2006), Entropy-based Image Registration [p.17~p.22]
[15] Du-Yih Tsai, Yongbum Lee, and Eri Matsuyama (2007), Information Entropy Measure for Evaluation of image quality, Published online 2007 Jun 19. doi: 10.1007/s10278-007-9044-5
[16] Joseph W.Goodman, Stanford University, 2005, Introduction to Fourier Optics, 3rd edition[p.4 ~ p.9]
[17] William K. Pratt, Digital Image Processing: PIKS Inside, 3rd Edition.[p189~p195]
[18] Alan V. Oppenenheim and Ronald W. Schafer and John R. Buck, Discrete-Time signal processing (1999), 2nd Edition[p.13~p.15]
[19] Joseph W.Goodman, Stanford University, 2005, Introduction to Fourier Optics, 3rd edition[p.220 ~ p.222]
[20] CS425 Lab: Frequency Domain Processing,
Available from: http://www.cs.uregina.ca/Links/class-info/425-nova/Lab5/ [Accessed 5 February 2017]
[21] Rafael C.Gonzalez and Richard E. Woods(2008),Digital Image Processing.2nd edition.繆紹鋼編譯.[p120~p123]
[22] William K. Pratt, Digital Image Processing: PIKS Inside, 3rd Edition.[p.123~p.127]
[23] Rafael C.Gonzalez and Richard E. Woods(2008),Digital Image Processing.2nd edition.繆紹鋼編譯.[p128]
[24] Gonzalez, Rafael C. & Woods, Richard E. (2002). Thresholding. In Digital Image Processing, [p.595~p.611]
[25] Ramesh Jain, Rangachar Kasturi, Brian G. Schunck(1995), Machine Vision [p.28~p.32]
[26] Sean Riley. (2015).
Canny Edge Detector[online].Computerphile.Available from:https://www.youtube.com/watch?v=sRFM5IEqR2w [Accessed 15 March 2017]
[27] 謝宜君(2015), 小球藻之光學變化與吸收光譜之研究Studies on the Optical Property of Chlorella and Absorption Spectrum,國立中央大學,光電科學與工程學系,碩士論文
[28] 蕭凱文Siao,Kai-wen(2013), 紅外線應用於 Moiré 量測脈搏系統之研究The study of infrared applied Moiré measurement pulse system,碩士論文
[29] 游舜豪(2016),應用高腳析度線掃描CCD於ITO導電玻璃表面瑕疵檢測之研究Study of defect inspection for ITO glass by using high resolution line scan camera,國立臺灣科技大學,自動化及控制研究所,碩士論文
[30] 張津魁、蔡雅惠、黃國唐、盧曉君, 非接觸式量測系統簡介, 智慧自動化技術應用專輯 |