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研究生:宋旻宸
研究生(外文):SONG,MIN-CHEN
論文名稱:以雙相機實現電阻基板之自動計數
論文名稱(外文):Automatic Counting of Resistance Substrates with Dual Cameras
指導教授:吳先晃
指導教授(外文):WU,XIAN-HUANG
口試委員:何前程林武杰
口試委員(外文):HE,QIAN-CHENGLIN,WU-JIE
口試日期:2020-07-23
學位類別:碩士
校院名稱:國立雲林科技大學
系所名稱:電機工程系
學門:工程學門
學類:電資工程學類
論文種類:學術論文
論文出版年:2020
畢業學年度:108
語文別:中文
論文頁數:71
中文關鍵詞:自動化光學檢測非接觸式電阻基板影像拼接
外文關鍵詞:Automated Optical InspectionNon-contactResistance SubstrateImage Stitching
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摘要 i
ABSTRACT ii
誌謝 iii
目錄 iv
表目錄 vi
圖目錄 vii
第1章 緒論 1
1.1 研究背景 1
1.2 研究動機與目的 3
1.3 文獻探討 5
1.4 論文架構 7
第2章 基本理論介紹 8
2.1 面掃描相機與線掃描相機 8
2.2 自適應二值化 10
2.3 膨脹與侵蝕 13
2.3.1 膨脹 13
2.3.2 侵蝕 14
2.4 開運算與閉運算 15
2.4.1 開運算 15
2.4.2 閉運算 16
2.5 垂直投影 17
第3章 系統硬體架構 19
3.1 拍攝物 19
3.2 相機 20
3.3 鏡頭 23
3.4 光源 24
3.5 線雷射與點雷射 25
3.6 LattePanda熊貓板 26
3.7 電路架構 29
3.8 硬體架設環境 30
第4章 系統軟體架構 34
4.1 軟體流程 34
4.2 ROI截取高度 35
4.3 影像拼接 37
4.4 影像處理 40
4.5 補線機制 41
第5章 實驗結果 45
5.1 系統軟體開發環境 45
5.2 使用者介面 46
5.3 線雷射取ROI 47
5.4 點雷射拼接 48
5.5 計數結果 49
5.6 不同高解析度相機比較 52
5.7 系統速度 56
第6章 結論與未來展望 57
6.1 結論 57
6.2 未來展望 57
參考文獻 58


[1]邱是芳. 從絢爛回歸理性—我國被動元件產業的回顧與展望. Available: https://www.tier.org.tw/achievements/pec3010.aspx?GUID=7f652a4e-507c-4b5b-aa1d-f605b6c16b9e
[2]工研院, "全球汽車電子市場規模," 2019/07.
[3]李賢學,周更生, "陶瓷被動元件," 科學發展, pp34-37, 2002/11.
[4]H. G. d. Silva, T. G. Amaral, and O. P. Dias, "Automatic optical inspection for detecting defective solders on printed circuit boards," in IECON 2010 - 36th Annual Conference on IEEE Industrial Electronics Society, 2010, pp. 1087-1091.
[5]Z. Liefeng, F. Huajun, Q. Li, and Y. Tingfeng, "Optical Inspection System for the Inner Surface of a Pipe," in 2007 8th International Conference on Electronic Measurement and Instruments, 2007, pp. 1-584-1-587.
[6]M. Shen, "Exploration of Significant Defects Based on Computer Vision," in 2017 International Conference on Computer Technology, Electronics and Communication (ICCTEC), 2017, pp. 660-663.
[7]Y. Lin and K. Wang, "Position determination of a ball grid array by automated optical inspection method," in The 9th IEEE International Conference on Nano/Micro Engineered and Molecular Systems (NEMS), 2014, pp. 97-101.
[8]F. Elian, F. I. Hariadi, and M. I. Arsyad, "Implementation of computer vision algorithms for position correction of chip-mounter machine," in 2017 International Symposium on Electronics and Smart Devices (ISESD), 2017, pp. 90-94.
[9]X. Hong, W. Wang, and Q. Liu, "Design and Realization of Fire Detection Using Computer Vision Technology," in 2019 Chinese Control And Decision Conference (CCDC), 2019, pp. 5645-5649.
[10]V. Kumar, Q. Wang, W. Minghua, S. Rizwan, S. M. Shaikh, and X. Liu, "Computer vision based object grasping 6DoF robotic arm using picamera," in 2018 4th International Conference on Control, Automation and Robotics (ICCAR), 2018, pp. 111-115.
[11]J. L. Mato, M. A. Souto, R. Besteiro, and J. A. Moledo, "Automated counting of palletized slate slabs based on machine vision," in IECON 2013 - 39th Annual Conference of the IEEE Industrial Electronics Society, 2013, pp. 2378-2383.
[12]Y. Li-na and Z. Li-jun, "Research of ceramic substrate automatic sorting system," in 2012 International Symposium on Instrumentation & Measurement, Sensor Network and Automation (IMSNA), 2012, vol. 1, pp. 228-231.
[13]H. Zhao, R. Dai, and C. Xiao, "A Machine Vision System for Stacked Substrates Counting With a Robust Stripe Detection Algorithm," IEEE Transactions on Systems, Man, and Cybernetics: Systems, vol. 49, no. 11, pp. 2352-2361, 2019.
[14]T. Chen, Y. Wang, and C. Xiao, "An Apparatus and Method for Real-Time Stacked Sheets Counting With Line-Scan Cameras," IEEE Transactions on Instrumentation and Measurement, vol. 64, no. 7, pp. 1876-1884, 2015.
[15]K. Li and G. Ding, "A Novel Automatic Image Stitching Algorithm for Ceramic Microscopic Images," in 2018 International Conference on Audio, Language and Image Processing (ICALIP), 2018, pp. 17-21.


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