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

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Spatially Varying Weighting Function-Based Global and Local Statistical Active Contours.

Application to X-Ray Images

Aicha Baya Goumeidane and Nafaa Nacereddine

1 Research Center in Industrial Technologies CRTI ex-CSC, P.O.Box 64, 16014 Algiers, Algeria

Abstract. Image segmentation is a crucial task in the image processing field. This paper presents a new region-based active contour which handles global information as well as local one, both based on the pixels intensities. The trade-off between these information is achieved by a spatially varying function computed for each contour node location. The application preliminary results of this method on computed tomography and X-ray images show outstanding and efficient object extraction.

Keywords: Image segmentation · Active contour · Averaged Shifted Histogram · Pressure forces · Statistics · Spatially varying function

Springer International Publishing AG 2016

J. Blanc-Talon et al. (Eds.): LNCS 10016, pp. 181–192, 2016.

DOI: 10.1007/978-3-319-48680-2 17

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