研究生: |
洪明勝 Ming-sheng Hung |
---|---|
論文名稱: |
利用線掃描攝影機開發生物組織玻片掃描設備之研製 Development of a biological tissue slide scanning instrument using a line scan CCD camera |
指導教授: |
修芳仲
Fang-jung Shiou 唐永新 Yeong-Shin Tarng |
口試委員: |
鄧昭瑞
Geo-Ry Tang 王世仁 Shyh-jen Wang |
學位類別: |
碩士 Master |
系所名稱: |
工程學院 - 機械工程系 Department of Mechanical Engineering |
論文出版年: | 2010 |
畢業學年度: | 98 |
語文別: | 中文 |
論文頁數: | 84 |
中文關鍵詞: | 運動控制 、影像處理 、自動對焦 、圖形比對 、顯微影像 |
外文關鍵詞: | biological tissue slide scanning instrument, line scan CCD camera, image processing, auto-focusing, pattern matching |
相關次數: | 點閱:314 下載:5 |
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本研究以PC-Based為開發基礎,整合機構設計、運動控制、影像處理及人機介面來開發生物組織玻片高速掃描之儀器,可即時地連續擷取影像並且完成全景縫合,縫合後之組織玻片影像提供醫學病理部門的研究人員於判斷生物組織細胞病變時,一個具有高可靠度的參考數據。本研究中所探討的議題主要為如何讓此設備的速度更快,更簡單地得到更真實的組織影像,因為在實際的自動化取像系統中,可能會因為定位機構誤差、組織幾何特徵多樣化及環境因素造成影像失焦、影像資訊遺漏及影像接縫產生,導致影像品質降低。因此,本研究利用影像處理技術探討各種組織影像的自動對焦方法,克服取像系統的景深微小的問題,並透過圖形比對(Pattern matching)的技術將組織影像縫合,來達到組織玻片全景之合成及快速且高品質的影像掃描。
A high speed biological tissue slide scanning instrument has been developed to capture continuous images using a line scan CCD camera and to complete a panoramic stitching in real time. The panoramic image provides a highly reliable reference data for pathological researchers to determine the pathogenic causing of biological tissues. The developed PC-based instrument consists of mainly the mechanical design of the scanning device, the motion control device, an image processing system, and the human-machine interface. This study aims to increase the scanning speed and to obtain more actual images of the biological tissues of the developed instrument. The errors resulting from the positioning mechanism, the diverse geometric features of tissues, and environment-induced factors would make defocused images, loss of image information, and generation of a stitching line. Using the image processing techniques, the auto-focusing methods for tissues images have been investigated to overcome the small depth of field problems. Moreover, a pattern matching technique for stitching tissue images to form a panoramic image has been proposed to achieve fast with high-quality scans of biological tissues.
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