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標題: 應用於拿普龍箱包裝檢測之影像識別技術
Dense Box Packaging Inspection by Using Image Recognition Technology
作者: 陳昱帆
Chen, Yu-Fan
關鍵字: 影像處理;Image processing;樣板比對;封裝打帶;缺陷檢測;影像識別;template matching;packing bands;defect detection;image recognition
出版社: 電機工程學系所
引用: [1] EE Times Taiwan, 480702_NT_e9d6165e.HTM [2] AU Optronics Corp., [3] 鍾國亮, “影像處理與電腦視覺”, 第四版, 東華書局, 2008. [4] 歐陽衡, “機器視覺用在封裝IC外觀瑕疵檢測之研究”, 國立成功大學, 工程科學研究所, 碩士論文, 2007. [5] 朱俊霖, “利用影像處理技術在晶圓缺陷及硬幣影像對位之應用”, 國立雲林科技大學, 資訊管理系研究所, 碩士論文, 2007. [6] 陳子超, “表面黏著元件之光學自動檢測”, 國立清華大學, 動力機械工程研究所, 碩士論文, 2003. [7] 劉祐男,“基於影像辨識之移動目標物追蹤與估測應用於無人直昇機”, 國立成功大學, 民航研究所, 碩士論文, 2008. [8] R. L. Hsu, A. M. Mohamed, and A. K. Jain, “Face Detection in Color Images,” IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 24, no. 5, 2002, pp. 696-706. [9] 張宏林, “Visual c++數位影像模式-識別技術及工程實踐”, 第一版, 文魁資訊, 2008. [10] 張維娜, “BGA 基板視覺檢測”, 國立交通大學, 電機與控制工程系, 碩士論文, 2003. [11] 杜世懷, “利用模糊類神經網路擷取圖片中之人臉及身體”, 國立中山大學, 電機工程研究所, 碩士論文, 2001. [12] R. C. Gonzalez and R. E. Woods, Digital Image Processing, 3rd ed., 2008. [13] 吳明衛, “自動化臉部表情分析系統”, 國立成功大學, 資訊工程系, 碩士論文, 2003. [14] 陳文俊, “人臉辨識及其在家用機器人與人互動之應用”, 國立交通大學, 電機與控制工程學系, 碩士論文, 2003. [15] Nixon, M. S., and Aguado, A. S., “Feature Extraction and Image Processing, ” Newnes, Oxford, pp.89-95, 2002. [16] D.chai and A. Bouzerdoum, “Bayesian Approach to Skin Color Classification in YCbCr Color Spaces,” TENCON 2000 Proceedings, Vol.2, pp. 421-424,2000. [17] C. Garcia and G. Tziritas, “Face Detection Using Quantized Skin Color Regions Merging and Wavelet Packet Analysis, ” IEEE Trans. Multimedia, Vol. 1, No. 3, 1999, pp. 264-277. [18] R. Cucchiara, C. Grana, M. Piccardi and A. Prati, “Improving Shadow Suppression in Moving Object Detection with HSV Color Information,” in Proc. IEEE Intelligent transportation System Conference, pp. 334-339, 2001. [19] B. Chen and Y. Lei, “Indoor and Outdoor People detection and Shadow Suppression by Exploiting HSV Color Information,” Fourth International Conference on Computer and Information Technology, pp. 137-142, 2004. [20] S. Vitabile, G. Pilato, G. Pollaccia, and F. Sorbello, “Road Signs Recognition Using a Dynamic Pixel Aggregation Technique in the HSV Color Space,” in Proc. 11th International Conference on Image Analysis and Processing, pp. 572-577, 2002.

This thesis is on the research of applying the image recognition technology to the detection of packaging defect of Dense Box of fully loaded LCD panels.
The Dense Box is a semi-finished products of LCD panel used for the transportation of a bearing mounted body. It’s used to protect the LCD panel during transportation, avoiding vibration and collision. The vibration or collision may cause damage or even rupture. The Panel damage is not only actual loss, but also increases operation cost and loss of profit. In this research, we adopt image recognition process for inspecting whether the bearing mounted body of the packaging is normal. In our case, there are three kinds of improper packing: 1)no superstructure, 2)spacer exposed and 3)packing bands NG. In this research, we use a webcam to obtain images. The images will be segmented into foreground objects and background. Then, the foreground objects will be identified. In this research, we used real images to do experiments. In the experiments, we achieve a 99% accuracy.
其他識別: U0005-2012201209354000
Appears in Collections:電機工程學系所

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