顯微影像自動聚焦及疊合系統

顯微影像可藉由高倍率光學鏡頭擷取，當需廣域性且高解析顯微影像亦可藉由手動方式獲得。手動疊合不但缺乏效率，也因疊合時人眼視覺誤差容易造成影像錯位( image mis-aligned )，另因高倍率顯微鏡頭下景深小( 例如，50倍光學鏡頭下，其景深約0.9μm )，廣域影像擷取中可能存在較大聚焦差異，因此為獲得良好的高解析度疊合影像品質，吾人需輔以自動聚焦技術，以滿足自動化之需。本研究探討顯微影像自動聚焦及疊合技術，本技術可應用於顯微切片組織及醫療檢測等相關領域，亦可應用於光電、材料、半導體、及微奈米元件檢測等高科技產業。本研究使用NCC( normalized cross correlation )及影像混合( imageblending )技術，完成影像相似度匹配且消除影像疊合後亮度不一所造成之接縫。本研究採用5倍及50倍光學鏡頭，其影像觀察範圍分別為1200×1000 mm2與120×100 mm2，醫學上可應用於切片組織與微生物之觀察，亦可應用於工業上LCD玻璃基板電路之檢測。視取像物件大小，本研究已完成6×8張裸子葉植物馬尾松影像疊合及10×10張LCD玻璃基板電路影像疊合。未來期望本技術能實際應用於醫學教學及切片觀察與生產線自動化作業之檢測。

關鍵字

自動聚焦；影像處理；影像疊合

並列摘要

Micro-image can be grabbed by high magnification optical lens, and also gained by manual if requires whole and high resolution mirco-image. The manual stitching not only lacks efficiency but also lets person’s visual error easily generates image mis-aligned in image stitching. Because of the depth of field of the high magnification lens is shallow( For example, under 50 magnification optics lens, its depth of field approximately 0.9μm )and the whole micro-image exists bigger different from image grabbing, it is necessary to integrate auto-focusing technique which satisfies the requirement of automation to obtain fine quality of high resolution image stitching. Our research discusses auto-focusing and stitching technique of micro-image, it can apply to micro-section of tissue and medical inspection, also to the photoelectricity, material, semiconductor, and nanometer component inspection…high-tech industry. This paper uses normalized cross correlation( NCC ) and image blending technology to achieve the match of image similarity and eliminate the differentiation of image intensity which forms image boundary visible after image stitching. Our research adopts 5 and 50 magnification optical lens, and the observational range are 1200×1000 mm2 and 120×100 mm2 respectively. Our research has already finished the plant masson pine image of 6×8 naked cotyledons and 10×10 LCDs glass base plate circuit image. Expect our technology to apply to medical teaching, tissue slices observation and automatically inspection of production line operation.

並列關鍵字

Image process ； Image stitching ； Auto-focusing

參考文獻

[1] Chern, N. K., Neow, P. A. and Ang, M.H., Jr., “Practical Issues in Pixel-Based Autofocusing for Machine Vision,” Proceedings of the IEEE International Conference on Robotics and Automation, Vol.3, pp.2791-2796, 2001.

[4] He, J., R Zhou, Z Hong, “Modified Fast Climbing Search Auto-focus Algorithm with Adaptive Step Size Searching Technique for Digital Camera”, IEEE Transactions on Consumer Electronics, Vol. 49, No. 2,May 2003.

[5] Choi, K. S., J. S. Lee, and S. J. Ko, “New Autofocusing Technique Using the Frequency Selective Weighted Median Filter for Video Cameras”, IEEE Transactions on Consumer Electronics, Vol. 45, No. 3, August, 1999.

[6] Haniel, N.K.C., Neow, P. A. and Ang Jr. M. H.,“Practical Issues in Pixel-Based Autofocusing for Machine Vision”, Proceeding of the 2001 IEEE International Conference of Robotics & Automation, Seoul, Korea, May 21-26, 2001.

[7] Yang, L. and Masahito, H., “A Stitching Algorithm of Still Picture with Camera Translation”. IEEE Proceedings of the First International Symposium on Cyber Worlds, 2002.

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顯微影像自動聚焦及疊合系統

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