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Mosaicing of Fibered Fluorescence Microscopy Video

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Advanced Concepts for Intelligent Vision Systems (ACIVS 2008)

Abstract

Fibered fluorescence microscopy is a recent developed image modality using a fiber optic probe connected to a laser scanning unit. It allows for in-vivo scanning of small animal subjects by moving the probe along the tissue surface. During the scans images are continuity captured, allowing to acquire an area larger then the field of view of the probe as a video. But there is still a need to obtain a single static image from the multiple overlapping frames. In this paper we introduce a mosaicing procedure for this kind of video sequence. An additional motivation for the mosaicing is the use of overlapping redundant information to improve the signal to noise level of the acquisition, since the individual frames tend to have both high noise levels and intensity inhomogeneities.

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References

  1. Irani, M., Anandan, P., Hsu, S.: Mosaic based representations of video sequences and their applications. In: Proceedings of Fifth International Conference on Computer Vision, 1995, June 20-23, pp. 605–611 (1995)

    Google Scholar 

  2. Sawhney, H., Hsu, S., Kumar, R.: Robust video mosaicing through topology inference and local to global alignment. In: Burkhardt, H., Neumann, B. (eds.) ECCV 1998. LNCS, vol. 1407, pp. 103–119. Springer, Heidelberg (1998)

    Google Scholar 

  3. Eden, A., Uyttendaele, M., Szeliski, R.: Seamless image stitching of scenes with large motions and exposure differences. In: CVPR 2006: Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, Washington, DC, USA, pp. 2498–2505. IEEE Computer Society, Los Alamitos (2006)

    Google Scholar 

  4. Brown, M., Lowe, D.: Recognising panoramas. In: Proceedings of Ninth IEEE International Conference on Computer Vision, 2003, October 13-16, vol. 2, pp. 1218–1225 (2003)

    Google Scholar 

  5. Bay, H., Tuytelaars, T., Van Gool, L.: Surf: Speeded up robust features. In: Leonardis, A., Bischof, H., Pinz, A. (eds.) ECCV 2006. LNCS, vol. 3951, pp. 404–417. Springer, Heidelberg (2006)

    Chapter  Google Scholar 

  6. Matas, J., Chum, O., Urban, M., Pajdla, T.: Robust wide baseline stereo from maximally stable extremal regions. In: Proceedings of British Machine Vision Conference (2002)

    Google Scholar 

  7. Davis, J.: Mosaics of scenes with moving objects. In: Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 1998, June 23-25, pp. 354–360 (1998)

    Google Scholar 

  8. Kuglin, C.D., Hines, D.C.: The phase correlation image alignment method. In: Proc. IEEE 1975 Int. Conf. Cybernetics and Sociaty, pp. 163–165 (September 1975)

    Google Scholar 

  9. Dijkstra, E.W.: A note on two problems in connexion with graphs. Numerische Mathematik 1, 269–271 (1959)

    Article  MathSciNet  MATH  Google Scholar 

  10. Brown, L.G.: A survey of image registration techniques. ACM Computing Surveys 24(4), 325–376 (1992)

    Article  Google Scholar 

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© 2008 Springer-Verlag Berlin Heidelberg

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De Backer, S. et al. (2008). Mosaicing of Fibered Fluorescence Microscopy Video. In: Blanc-Talon, J., Bourennane, S., Philips, W., Popescu, D., Scheunders, P. (eds) Advanced Concepts for Intelligent Vision Systems. ACIVS 2008. Lecture Notes in Computer Science, vol 5259. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-88458-3_83

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  • DOI: https://doi.org/10.1007/978-3-540-88458-3_83

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-88457-6

  • Online ISBN: 978-3-540-88458-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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