Mucosal Region Detection in Capsule Endoscopy videos

Examples of the proposed segmentation methodology:

The following examples illustrates efficient mucosa segmentation using our scheme [1] for different wireless capsule endoscopy frames.


Villus structures


Wireless capsule endoscopy images with segmentation curve (in white color) from our active contour based scheme [1]


[1]* V. B. S. Prasath, I. N. Figueiredo, P. N. Figueiredo. Colonic mucosa detection in wireless capsule endoscopic images and videos. Congress on Numerical Methods in Engineering (CMNE 2011), Coimbra, Portugal, Jun 14-17, 2011.

[2] V. B. S. Prasath, I. N. Figueiredo, P. N. Figueiredo, K. Palaniappan. Mucosal region detection and 3D reconstruction in wireless capsule endoscopic videos by active Contours. 34th Annual International Conference IEEE EMBS (EMBC), San Diego, CA, 2012. Proc. IEEE, pp. 4014-4017.

[3] V. B. S. Prasath, R. Delhibabu. Automatic image segmentation for video capsule endoscopy. International Conference on Computation Intelligence: Health and Disease (CIHD), Visakhapatnam, India, December 2014. Proc. Computational Intelligence in Medical Informatics, (eds. N. B. Muppalaneni, V. K. Gunjan), pp. 73-80, 2015. Springer Briefs in Forensic and Medical Bioinformatics.

[4] V. B. S. Prasath, R. Delhibabu. Automatic mucosa detection in video capsule endoscopy with adaptive thresholding. International Conference on Computation Intelligence and Data Mining (ICCIDM), Bhubaneswar, India. Proc. Computational Intelligence in Data Mining, (eds. H. S. Behera, D. P. Mohapatra), Springer AISC 410, pp. 95-102, Dec 2015.


*The work [1] was done while the first author was at the Department of Mathematics, University of Coimbra, PT. The first author also gratefully acknowledges Prof. Richard Tsai (UTAustin) for his advise and help.

*The work [1] was partially supported by the research project UTAustin/MAT/0009/2008 of the UT Austin|Portugal Program ( and by CMUC and FCT (Portugal), through European program COMPETE/FEDER.

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