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.
|
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
|