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| DC 欄位 | 值 | 語言 |
|---|---|---|
| dc.contributor.advisor | 陳柏翰 | |
| dc.contributor.author | Wei-Tsun Liu | en |
| dc.contributor.author | 劉韋村 | zh_TW |
| dc.date.accessioned | 2021-06-15T12:32:27Z | - |
| dc.date.available | 2016-08-24 | |
| dc.date.copyright | 2016-08-24 | |
| dc.date.issued | 2016 | |
| dc.date.submitted | 2016-08-03 | |
| dc.identifier.citation | 中文文獻
[1] 尹昱翰(2014)，「鋼構件鏽蝕影片運用雲端辨識系統之初步開發」，國立臺灣大學工學院土木工程學研究所碩士論文。 [2] 何文平(2012)，「應用手持裝置於現地評估-以校舍耐震初步評估為例」，國立交通大學土木工程學碩士班碩士論文。 [3] 楊雅晴(2008)，「運用智慧型彩色影像辨識於鋼橋生鏽檢測」，國立臺灣大學工學院土木工程學研究所碩士論文。 [4] 何明錦(2007)，「鋼結構建築防鏽蝕工法之研究」，內政部建築研究所研究報告。 [5] 施旻汶(2015)，「自動化無人飛行載具輔助擷取」，國立中央大學營建管理研究所碩士論文。 [6] 周達峰(2006)，「眼睛檢測演算法的比較」，國立交通大學電機學院與資訊學院電子與光電學程碩士論文。 [7] 王坤與王衛星(2007)，「Canny邊緣檢測算法在顆粒邊緣檢測方面的應用」，Journal of Communication and Computer，6，52-54。 [8] 戴佳信(2004)，「小波理論於智慧型影像處理在鋼構橋梁表面鏽蝕面積檢測之應用」，國立交通大學土木工程學碩士班碩士論文。 [9] 黃隆明，陳文福，吳聲傑與吳昌翰(2006)，「幾何校正法應用於無人載具空拍影像從事災區調查分析」，中華水土保持學報，37(2)，111-124。 [10] 交通部(2008)，「交通技術標準規範公路類公路工程部 公路鋼結構橋梁之檢測及補強規範」，初版，交通部。 [11] 范九伦,赵凤(2007)，「灰度图像的二维Otsu 曲线阈值分割法」，电子学报，4，751-756。 [12] 黃世昌(2000)，「智慧型影像處理於橋樑維護與檢驗技術之研究」，政院國家科學委員會專題研究計畫成果報告。 [13] Zhiwei TANG(2011)，One image segmentation method based on Otsu and fuzzy theory seeking image segment threshold， Communications and Control ，4，2170 – 2173. [14] 賴玉霞(2008)，「K-means算法的初始聚類中心優化」，Computer Engineering and Application，147-149。 [15] 肖超云，朱伟兴(2007)，「基于Otsu准则及图像熵的阈值分割算法」，Computer Engineering，Vol.33，No.14，188-189。 英文文獻 [1] Heng-Kuang Shen (2014), Automatic Color Image Recognition for Steel Bridge Rust Defects Assessment, Department of Civil Engineering College of Engineering National Taiwan University Doctoral Dissertation. [2] Heng-Kuang Shen, Po-Han Chen, Luh-Maan Chang (2013), Automated steel bridge coating rust defect recognition method based on color and texture feature, Automation in Construction, Vol. 4, 338-356. [3] Po-Han Chen, Heng-Kuang Shen, Luh-Maan Chang (2012), Support-vector-machine-based method for automated steel bridge rust assessment, Automation in Construction, Vol. 23, 9-19. [4] Po-Han Chen , Ya-Ching Yang , Chi-Yang Lei, Luh-Maan Chang(2009) , Automated bridge coating defect recognition using adaptive ellipse approach，Automation in Construction, 18, 632-643. [5] Po-Han Chen , Luh-Maan Chang(2002) , Intelligent Steel Bridge Coating Assessment Using Neuro-Fuzzy Recognition Approach, Computer-Aided Civil and Infrastructure Engineering, 17, 307-319. [6] Sangwook Lee, Luh-Maan Chang, Miroslaw Skibniewski (2006) , Automated recognition of surface defects using digital color image processing, Automation in Construction, 15, 540-549. [7] Sangwook Lee (2011) , Digital Image Processing Methods for Bridge Coating Management and Their Limitations, Journal of Civil Engineering and Architecture, 1(38) , 39-47. [8] Po-Han Chen, Yuh-Chin Chang, Luh-Maan Chang, Peter C.(2002), Application of Multiresolution Pattern Classification to Steel Bridge Coating Assessment, Journal Of Computing In Civil Engineering, 16(4), 244-251. [9] Qing-yuan, Chuan-jiu (2006), Image thresholding segmentation with Otsu based on particle swarm optimization algorithm, 355-358. [10] Mei Fang, GuangXue Yue, and QingCang Yu (2009), The Study on An Application of Otsu Method in Canny Operator, International Symposium on Information Processing, August 21-23, 109-112. [11] Hugo Hedberg, Fredrik Kristensen, Peter Nilsson, and Viktor Oぴ wall (2002)，A low complexity architecture for binary image erosion and dilation using structuring element decomposition, Circuits and System, International Symposium on Circuits and Systems, Vol. 4, 3431 – 3434. [12] T. Kanungo (2002), An efficient k-means clustering algorithm: analysis and implementation, Transactions on Pattern Analysis and Machine Intelligence, Vol. 24, 881-892. [13] JOHN CANNY, A Computational Approach to Edge Detection (1986), TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, VOL. PAMI-8, NO. 6,679-698. [14] Raman Maini & Dr. Himanshu Aggarwal (2009), Study and Comparison of Various Image Edge Detection Techniques, International Journal of Image Processing, 3, 1-11. [15] Susanta Mukhopadhyay (2003), Multiscale morphological segmentation of gray-scale images, IEEE Transactions on Image Processing, VOL. 12, NO. 5, 533-549. [16] Li Bin, Mehdi Samiei yeganeh (2012), Comparison for Image Edge Detection Algorithms, IOSR Journal of Computer Engineering, VOL. 2, 1-4. [17] ROBERT M. HARALICK (1987), Image Analysis Using Mathematical Morphology, IEEE Transaction On Pattern Analysis And Machine Intelligence, VOL. PAMI-9, NO. 4,532-550. | |
| dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/50203 | - |
| dc.description.abstract | 由於台灣地理環境之因素，橋樑工程相關研究在台灣更顯重要，其中鋼橋樑因結構特性常使用於市區高架以及長垮徑橋樑，因此有不少鋼橋樑維護與檢測相關研究。
過去針對鋼橋樑鏽蝕檢測為人眼進行面積百分比之判斷，近年來相當多國內外研究，提出利用影像處理鋼橋梁鏽蝕檢測，準確率也逐漸提升，但辨識影像多以小畫數圖片居多，並未使用目前常見大小之影像做為研究對象。加上近年智慧型手機普及且進步，不論相機解析度或CPU運算速度都由明顯的提升，若能將鏽蝕影像辨識系統結合智慧型手機，可提升現場工程師或檢測人員之橋樑檢測效率，更可以減少設備相關費用。 鏽蝕辨識系統，透過邊緣檢測之技術，可以降低運算複雜度，提高運算效率減少時間，透過一系列的參數測試及調整，並使用實際鏽蝕影像測試，並將此鏽蝕辨識系統應用於智慧型手機即時檢測。 | zh_TW |
| dc.description.abstract | The island of Taiwan was formed at a complex convergent boundary between the Philippine Sea Plate and the Eurasian Plate. Due to geographical factors in Taiwan, bridge engineering is an important issue. The steel bridge often used in urban areas, attributed to its advantage such as lighter self-weight, easier constructability, so there are many research about its repairing and maintenance.
Nowadays, corrosion on steel bridges is identified by human eye, but identifying through visual processing has already been proposed in previous studies. In past studies, they used small size image to recognize rust. In recent years, the popularity rate of smartphone has been raised, and smartphone has been equipped with high-pixel camera and good CPU. If this research can develop an application for smartphone, it can not only improve efficiency but also reduce the equipment costs for bridge engineers. This research develops a steel rust recognition system by using edge detected technology, in order to reduce image processing time and improve efficiency. By parameters testing and adjustment, the research used real rust image to test the system. Finally, research develops a smartphone application for real-time rust recognition. | en |
| dc.description.provenance | Made available in DSpace on 2021-06-15T12:32:27Z (GMT). No. of bitstreams: 1 ntu-105-R03521706-1.pdf: 3813443 bytes, checksum: 432a7651012a984048548c24ee209d67 (MD5) Previous issue date: 2016 | en |
| dc.description.tableofcontents | 目錄
口試委員會審定書 i 誌謝 ii 中文摘要 iii Abstract iv 目錄 v 圖目錄 vii 表目錄 x 第一章 緒論 1 1.1 研究背景 1 1.2 研究動機與目的 3 1.2.1研究動機 3 1.2.2 研究目的 3 1.3 研究範圍與限制 4 1.4 研究方法與流程 5 1.5 論文架構 5 第二章 文獻回顧 7 2.1 鋼橋梁鏽蝕檢測相關文獻 7 2.2 影像辨識及演算法相關文獻 12 2.3 工程軟體相關文獻 17 2.4 文獻總結 17 第三章 鋼材鏽蝕辨識系統開發 19 3.1演算法介紹 19 3.1.1 OTSU演算法 19 3.1.2 Canny edge演算法 20 3.1.3 Erosion 與 Dilation 23 3.2系統架構 26 3.3開發環境與開發工具 26 3.3.1 Android與Android Studio 27 3.3.2 Visual Studio 28 3.3.3影像處理函式庫-OpenCV 29 3.4人工鏽蝕圖製作 29 3.5檢測方式 31 3.6參數測試 33 3.7系統展示 43 第四章 數據分析及討論 45 4.1 數據分析與比較 45 4.2 手持裝置運行測試 56 第五章 結論與建議 58 5.1 結論 58 5.2 建議與後續研究 59 參考資料 60 | |
| dc.language.iso | zh-TW | |
| dc.subject | 智慧型手機 | zh_TW |
| dc.subject | 邊緣檢測 | zh_TW |
| dc.subject | 鋼鏽蝕辨識 | zh_TW |
| dc.subject | 智慧型手機 | zh_TW |
| dc.subject | 即時 | zh_TW |
| dc.subject | 邊緣檢測 | zh_TW |
| dc.subject | 鋼鏽蝕辨識 | zh_TW |
| dc.subject | 即時 | zh_TW |
| dc.subject | real-time | en |
| dc.subject | rust recognition | en |
| dc.subject | real-time | en |
| dc.subject | edge detection | en |
| dc.subject | smartphone | en |
| dc.subject | rust recognition | en |
| dc.subject | edge detection | en |
| dc.subject | smartphone | en |
| dc.title | 以手持裝置進行鋼材鏽蝕即時影像辨識之系統開發 | zh_TW |
| dc.title | Development of Smartphone Application for Real-Time Steel Rust Recognition | en |
| dc.type | Thesis | |
| dc.date.schoolyear | 104-2 | |
| dc.description.degree | 碩士 | |
| dc.contributor.oralexamcommittee | 張陸滿,沈恆光,陳介豪,周瑞生 | |
| dc.subject.keyword | 鋼鏽蝕辨識,邊緣檢測,即時,智慧型手機, | zh_TW |
| dc.subject.keyword | rust recognition,real-time,edge detection,smartphone, | en |
| dc.relation.page | 63 | |
| dc.identifier.doi | 10.6342/NTU201601845 | |
| dc.rights.note | 有償授權 | |
| dc.date.accepted | 2016-08-03 | |
| dc.contributor.author-college | 工學院 | zh_TW |
| dc.contributor.author-dept | 土木工程學研究所 | zh_TW |
| 顯示於系所單位： | 土木工程學系 | |
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