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Spatially Varying WeightingFunction-BasedGlobal and Local StatisticalActive Contours.Application to X-Ray Images

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Lecture Notes on Computer Science (LNCS)

Volume 10016, Issue 1, 2016, Pages 181-192

Spatially Varying Weighting

Function-BasedGlobal and Local Statistical Active Contours.Application to X-Ray Images

Aicha Baya Goumeidane, Nafaa Nacereddine

Abstract: Image segmentation is a crucial task in the image processingfield. This paper presents a new region-based active contour whichhandles global information as well as local one, both based on the pixelsintensities. The trade-off between these information is achieved by aspatially varying function computed for each contour node location. Theapplication preliminary results of this method on computed tomographyand X-ray images show outstanding and efficient object extraction

Keywords : image segmentation, Active contour, Averaged Shifted, histogram, pressure forces, statistics, Spatially varying function

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Spatially Varying Weighting Function-Based Global and Local Statistical Active Contours. Application to X-Ray Images

The application preliminary results of this method on computed tomography and X-ray images show outstanding and efficient object extraction. Blanc-Talon