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A new Gray-Level Picture Thresholding method for colonoscopic navigation

Chettaoui, Hanene, Thomann, Guillaume, Ben Amar, Chokri, Redarce, Tanneguy
LAI INSA Lyon
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Please use this identifier to cite or link to this publication: http://hdl.handle.net/1926/206
New: Prefer using the following doi: https://doi.org/10.54294/fpuexj
Published in The Insight Journal - 2006 MICCAI Open Science Workshop.
Submitted by Hanene Chettaoui on 2006-06-30T16:51:03Z.

In this paper, we propose a vision based navigation system to guide an endoscope inside human colon. The target to pursue is a dark spot on colonoscopic images, called “pattern”. A novel methodology for "pattern" extraction and tracking was designed. Surgeons observations leads to the basic idea of this technique. Information about target position is then continues and makes possible prediction of the “pattern” position. A set of endoscopic images is tested to demonstrate the effectiveness of the vision technique. An experiment tool to simulate the endoscope navigation was employed to achieve real time performance. An interpretation of the results and the possible amelioration is presented.