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課程名稱 |
自動化光學檢測原理與應用
Theory and Applications of Automated Optical Inspection |
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開課學期 |
112-2 |
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授課對象 |
工學院 工學院院學士學位 |
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授課教師 |
陳亮嘉 |
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課號 |
ME5245 |
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課程識別碼 |
522EU5320 |
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班次 |
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學分 |
3.0 |
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全/半年 |
半年 |
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必/選修 |
選修 |
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上課時間 |
星期二7,8,9(14:20~17:20) |
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上課地點 |
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備註 |
本課程以英語授課。教室: 綜203。
總人數上限：22人 |
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課程簡介影片 |
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核心能力關聯 |
核心能力與課程規劃關聯圖 |
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課程大綱
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為確保您我的權利,請尊重智慧財產權及不得非法影印
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課程概述 |
Objectives: This subject is arranged to introduce the theory and techniques required in Automatic Optical Inspection (AOI) as well as its applications in various industries. The subject mainly includes the following subtopics: introduction to precision metrology and machine vision, the measurement & detection principles and methods used in the 2D AOI, the detection & measurement principles and techniques used in the 3D AOI, image processing and algorithm methods used in automatic inspection, special topic from experts from industries, system instrumentation, factory visit, and lab practice work.
Important notes for the perspective students:
1) The class will be mainly conducted in English.
2) Extra lecturing videos in Chinese will be provided in NTU Cool a week before every section is delivered, so the students with Chinese background can pre-study the topics.
3) The students can use Chinese or English for their exams, tests, and homework.
4) If requested, some extra time of lecturing can be arranged for the students with Chinese background for their best learning. |
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課程目標 |
1. To familiarize with fundamentals, theories and techniques required in AOI technology.
2. To understand key issues in system design and operations in AOI.
3. To establish the fundamentals of instrumentation needed in AOI.
4. To establish basic hands-on skills of AOI, such as programming in digital imaging processing.
5. To understand the developing trend of AOI industries and its applications. |
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課程要求 |
Science or Engineering background is desirable.
Class grading:
1. Middle examination (30%);
2. Homework & labwork report & Tour report (20%);
3. Final student presentation and report (50%)
4. Class participation (+-0~10%) |
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預期每週課後學習時數 |
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Office Hours |
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指定閱讀 |
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參考書目 |
AOI References for reading and study:
Definition of Machine vision: [1, 2]
Image formation and sensing: [3, 4]
Sensors: [5, 6]
Types of lenses and geometrical optics: [4]
Optical Resolution: [7, 8]
CCD Size specification: [9]
Important parameters of CCD and Imaging: [10]
Image format and transform: [11]
Fundamental’s parameters of an Imaging system: [10, 12, 13]
MTF: [10]
Telecentric lenses: [14, 15]
Light source and characteristics: [16, 17]
Color Rendering Index: [18]
Light projection method: [19, 20]
LED light source: [21]
Basics of Image Segmentation:[22-24]
Camera calibration: [25-27]
Autofocusing algorithms: [28-30]
Fourier transform: [31-33]
Note:
These topics have been taken from Prop. Chen’s sir AOI classroom. The primary sources of these topics are from AOI class presentation taught by Prop. Liang-Chia Chen’s sir.
[1] M. vision. [Online]. Available: https://cortexrobotics.my/machine-vision/.
[2] Microscan. [Online]. Available: https://www.microscan.com/en-us/resources.
[3] I. f. a. sensing. [Online]. Available: https://www.cse.unr.edu/~bebis/CS791E/Notes/ImageFormation.pdf.
[4] D. B.Murphy, "Fundamentals of Light Microscopy and Electronic Imaging, 2nd Edition" Vol. Image formation, pp. Chapter-4-5.
[5] R. W. Rafeel Gonzalez, "Digital Image Processing," pp. Chapter1-2.
[6] S. E. umbaugh, "Digital Image processing," pp. chapter-1.
[7] r. criterion. [Online]. Available: http://hyperphysics.phy-astr.gsu.edu/hbase/phyopt/Raylei.html.
[8] Edumund, "Optical resolution." [Online]. Available: https://www.edmundoptics.com.tw/knowledge-center/application-notes/imaging/resolution/.
[9] Edumund, "CCD camera specification." [Online]. Available: https://www.edmundoptics.com.tw/knowledge-center/application-notes/imaging/understanding-camera-sensors-for-machine-vision-applications/.
[10] Edumund, "Important parameters of CCD and Imaging ". [Online]. Available: Important parameters of CCD and Imaging
[11] D. B. Murphy, "Fundamentals of light Microscopy and electronic imaging."
[12] E. Hecht, "Optics," pp. Chapter-5(Geomtrical optics).
[13] edumund, "depth of field." [Online]. Available: https://www.edmundoptics.com/resource-page/application-notes/imaging/depth-of-field-and-depth-of-focus/#:~:text=The%20DOF%20of%20a%20lens,the%20plane%20of%20best%20focus.
[14] Edumund, "Telecentric lens video." [Online]. Available: https://www.youtube.com/watch?v=O-NeZcmYyJ4.
[15] v. system, "Telecentric lenses." [Online]. Available: https://www.vision-systems.com/factory/manufacturing/article/16737545/telecentric-lenses-focus-on-machine-vision.
[16] D. B.MURPHY, "Fundamentals of light microscopy and electronic imaging."
[17] R. E. F. B. T.-G. P. R. Yoder, "Optical System Design," pp. Chapter-14.
[18] Wikki, "Color rendering index." [Online]. Available: https://en.wikipedia.org/wiki/Color_rendering_index.
[19] S. robotics, "light projection method." [Online]. Available: https://www.robotics.hiroshima-u.ac.jp/researches/researches_single/851/.
[20] it, "light projection method." [Online]. Available: http://www.it.hiof.no/~borres/j3d/explain/shadow/p-shadow.html.
[21] T. lab, "LED light." [Online]. Available: https://www.thorlabs.com/newgrouppage9.cfm?objectgroup_id=2615.
[22] D. B.MURPHY, "Fundamentals of light microsocpy " pp. Chapter15-16.
[23] A. labs, "Image segmentation." [Online]. Available: https://www.analytixlabs.co.in/blog/what-is-image-segmentation/.
[24] cse, "Image filter." [Online]. Available: https://www.cse.usf.edu/~r1k/MachineVisionBook/MachineVision.files/MachineVision_Chapter4.pdf.
[25] prateekjoshi, "Cmaera callibration." [Online]. Available: https://prateekvjoshi.com/2014/05/31/understanding-camera-calibration/.
[26] sites, "camera callibration." [Online]. Available: https://sites.google.com/site/hyowoncv/ha_iccv15.
[27] Matlab, "Camera callibration." [Online]. Available: https://www.mathworks.com/help/vision/ug/camera-calibration.html.
[28] stvision, "Autofocussing algorithm." [Online]. Available: https://www.1stvision.com/machine-vision-solutions/tag/autofocus.
[29] G. Fu, "A fast auto-focusing method of microscopic imaging based on an improved MCS algorithm." [Online]. Available: https://www.researchgate.net/publication/280172987_A_fast_auto-focusing_method_of_microscopic_imaging_based_on_an_improved_MCS_algorithm.
[30] J. m. mateos-perez, "Comparative evaluation of autofocus algorithms for a real-time system for automatic detection of Mycobacterium tuberculosis." [Online]. Available: https://onlinelibrary.wiley.com/doi/full/10.1002/cyto.a.22020.
[31] E. Hect, "OPTICS 5e."
[32] t. fourier, "fourier transform." [Online]. Available: https://www.thefouriertransform.com/.
[33] Matlab, "fourier transform." [Online]. Available: https://www.mathworks.com/help/matlab/math/fourier-transforms.html#:~:text=The%20fft%20function%20in%20MATLAB,a%20period%20of%2010%20seconds. |
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評量方式
(僅供參考) |
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