A novel approach of initializing region-based active contours in noisy images by means of unimodality analysis

In this paper a novel approach of initializing region-based active contours using unimodahty analysis is introduced. Two different initialization methods using dip test and excess mass test to adapt the initial radii of the active contours are developed. Both methods are compared to state of the art...

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Bibliographic Details
Main Authors: Ohliger, Kevin, Edeler, T, Condurache, A P, Mertins, A
Format: Conference Proceeding
Language:English
Subjects:
Accuracy
Active contours
Cohen's kappa
Computational modeling
dip test
Electronics packaging
excess mass
Image segmentation
initialization
KDR
multimodality
Noise
Object segmentation
overall accuracy
segmentation
unimodality
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Summary:In this paper a novel approach of initializing region-based active contours using unimodahty analysis is introduced. Two different initialization methods using dip test and excess mass test to adapt the initial radii of the active contours are developed. Both methods are compared to state of the art methods and a method which is based on kurtosis and dissimilarity (KDR). It is shown that the excess mass method outperforms KDR and state of the art methods for synthetic and real images for different noise setups with respect to the overall accuracy and Cohen's kappa of the segmentation results.
ISSN:2164-5221
DOI:10.1109/ICOSP.2010.5656033