環場式膠囊內視鏡之影像處理

以作者查詢圖書館館藏

、以作者查詢臺灣博碩士

、以作者查詢全國書目

、勘誤回報

、線上人數：23

、訪客IP：18.219.40.12

姓名

鄭偉德(Wei-De Jeng) 查詢紙本館藏

畢業系所

光電科學與工程學系

論文名稱

環場式膠囊內視鏡之影像處理
(Image processing of ring field capsule endoscope)

相關論文

★ 嵌入式繼光鏡顯微超頻譜影像系統應用在口腔癌切片及活體之設計及研究	★ 新型液晶電視與背光模組的探討分析
★ 高動態範圍雷射測距系統之研製	★ 雙燈投影裝置運用於遠距教學之研究
★ 膠囊內視鏡之照明系統設計	★ 任意頻率調變式雷射測距儀
★ 膠囊內視鏡之成像鏡頭設計	★ 色域映對理論應用於顯示器色彩調校之研究
★ 多原色顯示器之色域探討與亮度優化設計	★ 相位移動器校正之研究
★ 色彩調校技術與顯示器構色原理之分析	★ 顯示器色彩之視覺疲勞研究
★ 干涉儀相位移動器之精密校正法	★ 新型灰階編碼於全像儲存系統之研究
★ 多主色顯示器之研製	★ 電校式電阻感測器校正方法之研究

檔案

[Endnote RIS 格式]

[Bibtex 格式]

[相關文章]

[文章引用]

[完整記錄]

[館藏目錄]

[檢視]

[下載]

本電子論文使用權限為同意立即開放。
已達開放權限電子全文僅授權使用者為學術研究之目的，進行個人非營利性質之檢索、閱讀、列印。
請遵守中華民國著作權法之相關規定，切勿任意重製、散佈、改作、轉貼、播送，以免觸法。

摘要(中)

目前生醫檢測方面，在於膠囊內視鏡生醫影像仍然是採用單張逐一檢測之方式，其原因為傳統膠囊內視鏡取像方向為膠囊前端之影像，在影像擷取過程中影像之間並無太大關聯性。本研究提出利用一種新型膠囊內視鏡來擷取環場影像，即為環場式膠囊內視鏡。此機構主要利用錐狀反射鏡來擷取膠囊側邊之影像，不僅可以解決傳統膠囊內視鏡無法拍攝到腸道內因皺摺產生之死角問題，更可以利用因側邊擷取影像導致影像間有相關性之優點，來進行影像對位，將所有影像對位完畢再投影至圓柱模型上，還原出真實三維環場影像。
本研究利用MATLAB之軟體來進行影像處理，利用實驗所拍攝到之影像，採用兩種影像對位演算法，即為皮爾森相關係數法以及平均絕對誤差法。經過軟體運算後可以得到兩個演算法尋找到最佳位置點均相同，但是時間卻相差一倍之多，利用平均絕對誤差法可把時間縮短至4秒左右，而皮爾森相關係數法則只能縮短至12秒。然而再把接合完之影像投影至圓柱模型上，利用圓柱半徑逐漸縮小之概念，營造出三維立體影像之感覺，還原真實之三維環場影像。

摘要(英)

In the aspect of biomedical diagnose, it still have to check the biomedical image one by one of the capsule endoscope. The reason is the typical capsule endoscope can just take the front images, all of the images have rarely relation between each other during the image taking. So the research purpose a new idea of capsule endoscope to get the ring field image, it is called ring field capsule endoscope. The capsule use a cone mirror to get the capsule side images, it not only can solve the problem that the typical capsule endoscope is difficult to get the dead spaces images in the intestines, but also can get the side images which have relation between each other, so we can use the images to recognize it, after connect all of the images we can project it to the cylindrical mode, restore three dimension ring field image.
This research use MATLAB software to process the images. First, we use the ring field capsule endoscope to do experiment and get ring field image, then process the images by two algorithm, they are Pearson correlation coefficient and mean absolute error respectively. We can find the two methods can find the same optimum location after computing, but the compute time is very difference. It can decrease the time to 4 second by using mean absolute error, but it can just decrease the time to 12 second by Pearson correlation coefficient. After connect all of the images we can project it to the cylindrical mode, and design the cylindrical radius decrease linearly to construct a three dimension view, and restore the real ring field image.

關鍵字(中)

★ 影像處理
★ 膠囊內視鏡
★ 環場式

關鍵字(英)

★ image processing
★ capsule endoscope
★ ring field

論文目次

摘要 i
Abstract ii
致謝 iii
目錄 iv
圖目錄 vi
表目錄 ix
一、緒論 1
1-1研究背景 1
1-2膠囊內視鏡發展近況 3
1-3環場影像概論 8
1-3.1全方位視景系統 8
1-3.2錐狀光學反射鏡系統 9
1-3.3環場式膠囊系統 10
二、影像處理原理 16
2-1影像處理動機 16
2-2灰階影像 17
2-3彩色影像 18
2-4影像對位 20
三、環場影像處理 24
3-1環場式膠囊內視鏡取像原理 24
3-2影像對位方法 27
3-2.1平均絕對誤差法 27
3-2.2皮爾森相關係數法 28
3-2.3對位演算法 30
3-3系統影像特性 32
3-3.1影像壓縮 32
3-3.2影像旋轉 34
3-3.3方向判別 35
3-3.4投光不均勻 40
3-3.5影像清晰之範圍選取 41
四、實驗與對位結果 43
4-1實驗方法 43
4-2對位分析 44
4-3進行改善 51
4-4比較結果 54
五、立體影像建構 56
5-1三維立體影像建構 56
5-2輸出影像 56
六、結論與未來展望 58
6-1 結論 58
6-2 未來展望 58
七、參考文獻 60
八、個人著作 62

參考文獻

〔1〕 G. Iddan, G. Meron, A. Glukhovky and P. Swain, " Wireless Capsule Endoscopy," Nature, vol. 405, No. 6785, pp. 405-417, 2000.
〔2〕張扶陽，「膠囊內視鏡術」，台灣內科醫學會九十年會員大會學術演講論文，2001。
〔3〕林錫泉：馬偕紀念醫院內視鏡簡介，
取自http://www2.mmh.org.tw/gi/patient_corner/capsule/capsule.htm。
〔4〕 Given Imaging: M2A Given® Diagnostic System, from http://www.givenimaging.com/.
〔5〕 A. Uehara and K. Hoshina, "Capsule endoscope NORIKA system," Minimally Invasive Therapy and Allied Technologies, vol. 12, No. 6, pp. 227-234, 2003.
〔6〕陳兆俞，「接觸式膠囊內視鏡之成像系統設計」，國立中央大學，碩士論文，民國97年。。
〔7〕 J. S. Chahl and M. V. Srinivasan, "Reflective surfaces for panoramic imaging," Applied Optics. vol. 36, No. 31, pp. 8275-8285, 1997.
〔8〕 D. W. Rees, "Panoramic television viewing system," US Patent 3505465, 1970
〔9〕薛博文，程啓正，周家至，張津魁，「全方位視覺感測系統之介紹與建置」，工程科技與教育學刊，第三卷第三期，264~283頁，2006。
〔10〕 J. Hong, X. Tan, B. Pinette, R. Weiss and E. M. Riseman, "Image-based homing," International Conference on Robotics and Automation, California 1991.
〔11〕 Y. Yagi and S. Kawato, "Panorama scene analysis with conic projection," International Conference on Intelligent Robots and Systems, Louis, 1990.
〔12〕 H. Ishiguro, "Development of low-cost compact omnidirectional vision sensors and their applications," International Conference on Information Systems, Analysis and Synthesis, Orlando, 1998.
〔13〕 Machikaneyama and Toyonaka, "Omnidirectional sensing and combined multiple sensing," International Conference on Computer Vision for Virtual Reality Based Human Communications, Japan, 1998.
〔14〕 S. Baker and S. K. Nayar, "A theory of single-viewpoint catadioptric image formation," International Journal of Computer Vision, vol. 35, No. 2, pp. 175-96, 1999.
〔15〕繆紹綱，數位影像處理運用MATLAB，東華書局出版，台北，民國九十四年。
〔16〕 Y. J. Lee, D. Y. Kim and M. J. Chung, "Feature matching in omnidirectional images with a large sensor motion for map generation of a mobile robot," Pattern Recognition Letters, vol. 25, No. 4, pp. 413-427, 2004.
〔17〕 H. Ishiguro, M. Yamamoto and S. Tsuji, "Omni-Directional Stereo for Making Global Map," International Conference on Computer Vision, Japan, 1990.
〔18〕 C. J. Willmott and K. Matsuura, "Advantages of the mean absolute error (MAE) over the root mean square error (RMSE) in assessing average model performance," Climate Research, vol. 30, No. 3, pp. 79-82, 2005.
〔19〕 S. Williams, "Pearson’s correlation coefficient," New Zealand Medical Journal, vol. 109, No. 1, pp. 38-38, 1996.
〔20〕 H. C. Huang and Y. P. Hung, "Adaptive early jump-out technique for fast motion estimation in video coding," Graphical Models and Image Processing, vol. 59, No. 1, pp. 388-394, 1997

指導教授

歐陽盟(Mang Ou-Yang)

審核日期

2010-7-14

推文