Endoscopic image classification based on active contours without edges

Abstract

The endoscopic images do not contain sharp edges to segment using the traditional segmentation methods for obtaining edges. Therefore, the active contours or 'snakes' using level set method with the energy minimization algorithm is adapted here to segment these images. The result obtained from the above segmentation process will be of number of segmented regions. The analysis of the segmentation results shows that the abnormal images generate more number of regions as compared to the normal images.

DOI: 10.1109/ICDIM.2007.369348

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Cite this paper

@article{Dhandra2006EndoscopicIC, title={Endoscopic image classification based on active contours without edges}, author={Basanna V. Dhandra and Ravindra Hegadi and Mallikarjun Hangarge and V. S. Malemath}, journal={2006 1st International Conference on Digital Information Management}, year={2006}, pages={167-172} }