A New robust Level Set image segmentation method based Signed Pressure Force function : Application to Medical Images
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Date
2019-02-24
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Publisher
Universty of Eloued جامعة الوادي
Abstract
Segmentation is an extremely active field of
research since it is an important step in the treatment and the
interpretation of the medical images. It represents one of the most
difficult step for relevant parameters extraction from images. In
this paper, we study A New robust Level Set image segmentation
method is developed by formulating Signed Pressure Force
Function (SPF). The advantages of this method are Firstly, the
Function of Signed Pressure can efficiently stop the contours at
weak or blurred edges, Second, exterior and interior boundaries
can be detected no matter where the initial contour starts. We
compare this method with Chan Vese (C-V) model and Geodesic
Active Contours (GAC). The performance of each method can be
evaluated either visually, or from similarity measurements
between a reference and the results of the segmentation. We have
applied each method for different medical images. Through
simulated results, we have demonstrated that the best results are
achieved by the proposed method.
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Keywords
Image Segmentation, Geodesic Active Contours (GAC), Level Set, Chan Vese (C-V) model Active Contours, Medical Images, Function of Signed Pressure (SPF).
Citation
Messaouda LARBI.Abdelghani ROUINI.Zoubeida MESSALI.Samira LARBI .A New robust Level Set image segmentation method based Signed Pressure Force function : Application to Medical Images .International Symposium on Technology & Sustainable Industry Development, ISTSID’2019. Faculty Of Technology. University Of Eloued. [Visited in ../../….]. Available from [copy the link here].