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研究生:林新凱
研究生(外文):Hsin-Kai Lin
論文名稱:印刷電路板之金線檢測
論文名稱(外文):PCB Gold Wire Sweep Inspection
指導教授:傅楸善傅楸善引用關係
指導教授(外文):Chiou-Shann Fuh
口試委員:陳世亮廖本博
口試委員(外文):Shih-Liang ChenBen-Bo Liao
口試日期:2015-06-01
學位類別:碩士
校院名稱:國立臺灣大學
系所名稱:資訊工程學研究所
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:2015
畢業學年度:103
語文別:英文
論文頁數:48
中文關鍵詞:X光檢測印刷電路板數學形態學A演算法
外文關鍵詞:X-ray inspectionPCBmathematical morphologyAsearch algorithm
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本論文提出一個X光檢測印刷電路板上金線的方法。檢測金線是否有相交及其彎曲程度。在本論文中,對檢測用的X光影像,使用數學形態學中的closing來進行處理,並計算出與其原圖之差值後,對其二值化,可得印刷電路板上的金線圖。最後在對金線圖以A*演算法做追蹤並檢測,即可得到金線是否有缺陷。

A method of Printed Circuit Board (PCB) gold wire inspection is proposed in this thesis. We inspect the gold wire intersection on PCB and the wire sweep. In this thesis, we use closing operation in mathematical morphology, to deal with the X-ray image, and calculate the difference between result and original image. After applying thresholding to it, we can get the printed circuit board golden wire image. Finally, we track the image with A* search algorithm to get the golden wire information.

誌謝 i
中文摘要 ii
ABSTRACT iii
CONTENTS iv
LIST OF FIGURES vi
LIST OF TABLES xiv
Chapter 1 Introduction 1
1.1 Wire Segmentation 1
1.2 Wire Sweep Tracking 2
1.3 Thesis Organization 3
Chapter 2 Related Works 4
2.1 Edge Detection 4
2.1.1 Canny Edge Detection 5
2.1.2 Laplacian Edge Detection 6
2.2 Search Algorithm 7
2.2.1 Iterative Deepening Depth-First Search 7
2.2.2 Flood-Fill Algorithm 9
Chapter 3 Background 11
3.1 Mathematical Morphology 11
3.2 A* Search Algorithms 15
Chapter 4 Methodology 18
4.1 Overview 18
4.2 Unsharp Masking 20
Chapter 5 Experimental Result 23
Chapter 6 Conclusion and Future Work 44
References 46


R. M. Haralick and L. G. Shapiro, Computer and Robot Vision, Addison-Wesley, Reading, MA, Vol. 1, pp. 157-261, 1992.

M. J. Carlotto, “Enhancement of Low-Contrast Curvilinear Features in Imagery,” IEEE Transactions on Image Processing, Vol. 16, No. 1, pp. 221-228, 2007.

D. Kunz and B. Schweiger, “Line Detection in Strongly Noise-Corrupted Images,” Proceedings des Workshops Algorithmen-Systeme-Anwendungen, Heidelberg, pp. 50-54, 2005.

P. Lester, “A* Pathfinding for Beginners,” http://www.policyalmanac.org/games/aStarTutorial.htm, 2005.

T. Lindeberg, “Edge Detection and Ridge Detection with Automatic Scale Selection,” Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition, San Francisco, CA, pp. 465 – 470, 1996.

OpenCV, “Laplace Operator,”
http://docs.opencv.org/doc/tutorials/imgproc/imgtrans/laplace_operator/laplace_operator.html, 2015.

P. Perona and J. Malik, “Scale-Space and Edge Detection Using Anisotropic Diffusion,” IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 12, No. 7, pp. 629-639, 1990.

Wikipedia, “A* Search Algorithm,”
http://en.wikipedia.org/wiki/A*_search_algorithm, 2015.

Wikipedia, “Canny Edge Detector,”
http://en.wikipedia.org/wiki/Canny_edge_detector, 2015.

Wikipedia, “Chebyshev Distance,”
http://en.wikipedia.org/wiki/Chebyshev_distance, 2015.

Wikipedia,“EdgeDetection,”
http://en.wikipedia.org/wiki/Edge_detection, 2015.

Wikipedia, “Euclidean Distance,”
http://en.wikipedia.org/wiki/Euclidean_distance, 2015.

Wikipedia,“Flood Fill,”
http://en.wikipedia.org/wiki/Flood_fill, 2015.

Wikipedia, “Iterative DeepeningDepth-First Search,”
http://en.wikipedia.org/wiki/Iterative_deepening_depth-first_search, 2015.

Wikipedia, “Laplace Operator,”
http://en.wikipedia.org/wiki/Laplace_operator, 2015.

Wikipedia, “Taxicab Geometry,”
http://en.wikipedia.org/wiki/Taxicab_geometry, 2015.

Wikipedia, “Unsharp Masking,”
http://en.wikipedia.org/wiki/Unsharp_masking, 2015.


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