Please use this identifier to cite or link to this item: http://hdl.handle.net/11455/9290
DC FieldValueLanguage
dc.contributor鄧洪聲zh_TW
dc.contributor.author陳昱帆zh_TW
dc.contributor.authorChen, Yu-Fanen_US
dc.contributor.other電機工程學系所zh_TW
dc.date2012en_US
dc.date.accessioned2014-06-06T06:43:01Z-
dc.date.available2014-06-06T06:43:01Z-
dc.identifierU0005-2012201209354000en_US
dc.identifier.citation[1] EE Times Taiwan, http://www.eettaiwan.com/ART_8800661504_ 480702_NT_e9d6165e.HTM [2] AU Optronics Corp.,http://www.auo.com/?sn=404&lang=zh-TW [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.en_US
dc.identifier.urihttp://hdl.handle.net/11455/9290-
dc.description.abstract本篇論文以影像識別技術為基礎,配合網路攝影機取得影像,應用於裝載液晶面板的拿普龍箱的包裝缺陷檢測系統。 拿普龍箱為未組裝屬半完成品之液晶面板用於運輸的一種承裝器,用於保護液晶面板於運輸過程中,避免因搬運時的震動、碰撞造成的損傷甚至破裂。面板損傷屬於實際損失,也使得成本增加,利潤損失。本研究探討以影像辨識的方法,辨識承裝器包裝是否正常,辨識三種包裝不良的情況,分別是:無上蓋、間隔物外露及打帶不良異常。本研究使用網路攝影機取得影像,再區分出背景與待測物體,再對待測物體做識別。使用實際影像做實驗,可得到99%的正確率。zh_TW
dc.description.abstractThis 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.en_US
dc.description.tableofcontents中文摘要 i ABSTRACT ii 目次 iii 表目次 v 圖目次 vi 第一章 緒論 1 1.1 打帶機現況介紹 1 1.2 研究動機與目的 3 1.3 研究方法 4 1.4 論文大網 4 第二章 影像處理技術 5 2.1 相關文獻 5 2.1.1 文獻探討 5 2.1.2 打帶於液晶面板輸出過程的環節 5 2.2 影像處理技術與應用 7 2.2.1 灰階處理 8 2.2.2 HSV彩色系統 8 2.2.3 YCbCr彩色系統 10 2.2.4 中值濾波 10 2.2.5 膨脹(Dilation) 11 2.2.6 侵蝕(Erosion) 11 2.2.7 邊緣偵測(Edge Detection) 12 2.2.8 特徵比對 13 2.3 影像處理及辨識流程 14 第三章 打帶異常檢測系統 15 3.1 運作流程與系統架構 15 3.1.1 現場環境 16 3.1.2 系統架構 16 3.2 軟體功能 17 第四章 實驗過程與結果 18 4.1 影像輸入與處理 18 4.1.1 影像擷取 18 4.1.2 去除多餘背景 19 4.1.3 中值濾波 24 4.1.4 侵蝕與膨脹 26 4.1.5 物件定位 28 4.2 DBOX異常識別 32 4.2.1 上蓋識別 32 4.2.2 SPACER露出識別 33 4.2.3 打帶識別 34 4.3 成功率分析 35 第五章 結論與未來發展 37 5.1 結論 37 5.2 未來工作 37 參考書目 38zh_TW
dc.language.isozh_TWen_US
dc.publisher電機工程學系所zh_TW
dc.relation.urihttp://www.airitilibrary.com/Publication/alDetailedMesh1?DocID=U0005-2012201209354000en_US
dc.subject影像處理zh_TW
dc.subjectImage processingen_US
dc.subject樣板比對zh_TW
dc.subject封裝打帶zh_TW
dc.subject缺陷檢測zh_TW
dc.subject影像識別zh_TW
dc.subjecttemplate matchingen_US
dc.subjectpacking bandsen_US
dc.subjectdefect detectionen_US
dc.subjectimage recognitionen_US
dc.title應用於拿普龍箱包裝檢測之影像識別技術zh_TW
dc.titleDense Box Packaging Inspection by Using Image Recognition Technologyen_US
dc.typeThesis and Dissertationzh_TW
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.openairetypeThesis and Dissertation-
item.cerifentitytypePublications-
item.fulltextno fulltext-
item.languageiso639-1zh_TW-
item.grantfulltextnone-
Appears in Collections:電機工程學系所
Show simple item record
 
TAIR Related Article

Google ScholarTM

Check


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.