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ENTROPY-BASED SPATIALLY-VARYING ADJUSTMENT OF ACTIVE CONTOUR PARAMETERS
| Citations: | 4 - 4 self |
BibTeX
@MISC{Mylona_entropy-basedspatially-varying,
author = {E. A. Mylona and M. A. Savelonas and D. Maroulis},
title = {ENTROPY-BASED SPATIALLY-VARYING ADJUSTMENT OF ACTIVE CONTOUR PARAMETERS},
year = {}
}
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Abstract
Parameter adjustment is a crucial, open issue in active contour methodology. Most state-of-the-art active contours are empirically adjusted on a trial and error basis. Such an empirical approach lacks scientific foundation, leads to suboptimal segmentation results and requires technical skills from the end-user. This work introduces a method for automatic adjustment of active contour parameters, which is based on image entropy. In addition, instead of being uniform, the parameter values calculated are spatiallyvarying, so as to reflect textural variations over the image. Experimental evaluation of the proposed method is conducted on thyroid US images, liver MRI images, as well as on real-world photographs. The results indicate that the proposed method is capable of identifying plausible object boundaries, obtaining a segmentation quality which is comparable to the one obtained with empirical parameter adjustment. Moreover, the applicability of the proposed method is not confined on a single active contour variation.
Keyphrases
mri image real-world photograph plausible object boundary segmentation result scientific foundation experimental evaluation textural variation empirical parameter adjustment error basis parameter adjustment technical skill thyroid u image empirical approach active contour methodology image entropy segmentation quality state-of-the-art active contour single active contour variation open issue active contour parameter automatic adjustment parameter value
