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Conference Publication

Mathematical Transform based on Regions Semantic for Improving Biomedical Images Segmentation

Host Publication: V Latin American Congress on Biomedical Engineering - CLAIB 2011

Authors: M. Perez Gonzalez, A. Taboada and H. Sahli

UsePubPlace: Berlin

Publisher: Springer

Publication Year: 2013

Number of Pages: 4

ISBN: 978-3-642-21197-3


Abstract:

in this paper we propose a mathematical transform, based on several one-class support vector machines (SVM) models, to modify images at pixel level on the preprocessing stage in order to emphasize the difference of pixels between dissimilar regions. We show experimentally that the proposed transform does improve segmentation results of automatic thresholding algorithms such as Otsu, Mixture of Gaussians and k-means on biomedical images specially in the presence of noise, clumped objects and difficult ROI identification.

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Prof. Hichem Sahli

+32 (0)02 629 291

hsahli@etrovub.be

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