Abstract
With the advancement of minimally invasive techniques for surgical and diagnostic procedures, there is a growing need for the development of methods for improved visualization of internal body structures. Video mosaicking is one method for doing this. This approach provides a broader field of view of the scene by stitching together images in a video sequence. Of particular importance is the need for online processing to provide real-time feedback and visualization for image-guided surgery and diagnosis. We propose a method for online video mosaicking applied to endoscopic imagery, with examples in microscopic retinal imaging and catadioptric endometrial imaging. © Springer-Verlag Berlin Heidelberg 2006.
Cite
CITATION STYLE
Seshamani, S., Lau, W., & Hager, G. (2006). Real-time endoscopic mosaicking. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4190 LNCS-I, pp. 355–363). Springer Verlag. https://doi.org/10.1007/11866565_44
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