IMAGE SEGMENTATION BASED ON THE STATISTICAL VARIATIONAL FORMULATION USING THE LOCAL REGION INFORMATION

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We propose a variational segmentation model based on statistical information ofintensities in an image. The model consists of both a local region-based energy and a globalregion-based energy in order to handle misclassification which happens in a typical statisticalvariational model with an assumption that an image is a mixture of two Gaussian distributions. We find local ambiguous regions where misclassification might happen due to a small differencebetween two Gaussian distributions. Based on statistical information restricted to the localambiguous regions, we design a local region-based energy in order to reduce the misclassification. We suggest an algorithm to avoid the difficulty of the Euler-Lagrange equations of theproposed variational model.
Publisher
한국산업응용수학회
Issue Date
2014-06
Language
Korean
Citation

Journal of the Korean Society for Industrial and Applied Mathematics, v.18, no.2, pp.129 - 142

ISSN
1226-9433
URI
http://hdl.handle.net/10203/195653
Appears in Collection
MA-Journal Papers(저널논문)
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