Endoscopic image classification based on active contours without edges

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...

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Bibliographic Details
Main Authors: Dhandra, B.V., Hegadi, R., Hangarge, M., Malemath, V.S.
Format: Conference Proceeding
Language:English
Subjects:
Active contours
Endoscopes
Esophagus
Image analysis
Image classification
Image color analysis
Image edge detection
Image segmentation
Level set
Minimization methods
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Description
Summary: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