A Robust Mosaicing Method with Super-Resolution for Optical Medical Images-Reference-Cited by-同舟云学术

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A Robust Mosaicing Method with Super-Resolution for Optical Medical Images

Published:2010 Issue: Volume: Page:373-382
ISSN:0302-9743
Container-title:Lecture Notes in Computer Science
language:
Short-container-title:

Author:

Hu Mingxing,Penney Graeme,Rueckert Daniel,Edwards Philip,Bello Fernando,Figl Michael,Casula Roberto,Cen Yigang,Liu Jie,Miao Zhenjiang,Hawkes David

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/978-3-642-15699-1_39.pdf

Reference17 articles.

1. Vercauteren, T., Perchant, A., Malandain, G., Pennec, X., Ayache, N.: Robust mosaicing with correction of motion distortions and tissue deformation for in vivo fibered microscopy. Medical Image Analysis 10(5), 673–692 (2006)

2. Miranda-Luna, R., Daul, C., Blondel, W.C.P.M., Hernandez-Mier, Y., Wolf, D., Guillemin, F.: Mosaicing of bladder endoscopic image sequences: distortion calibration and registration algorithm. IEEE Trans. on Biomed. Eng. 55, 541–553 (2008)

3. Can, A., Stewart, C.V., Roysam, B., Tanenbaum, H.L.: A feature-based, robust, hierarchical algorithm for registering pairs of images of the curved human retina. IEEE Trans. PAMI 24, 347–364 (2002)

4. Lecture Notes in Computer Science;H. Bay,2006

5. Lecture Notes in Computer Science;P.C. Cattin,2006

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