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.
CITATION STYLE
Goumeidane, A. B., & Nacereddine, N. (2016). Spatially varying weighting function-based global and local statistical active contours. Application to X-ray images. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 10016 LNCS, pp. 181–192). Springer Verlag. https://doi.org/10.1007/978-3-319-48680-2_17
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