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Image Segmentation for Intensity Inhomogeneity in Presence of High Noise

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Publication:4617383
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DOI10.1109/TIP.2018.2825101zbMath1409.94009WikidataQ52561363 ScholiaQ52561363MaRDI QIDQ4617383

Noor Badshah, Lavdie Rada, Haider Ali

Publication date: 6 February 2019

Published in: IEEE Transactions on Image Processing (Search for Journal in Brave)



Mathematics Subject Classification ID

Image processing (compression, reconstruction, etc.) in information and communication theory (94A08)


Related Items (6)

Robust region-based active contour models via local statistical similarity and local similarity factor for intensity inhomogeneity and high noise image segmentation ⋮ Active contour driven by adaptively weighted signed pressure force combined with Legendre polynomial for image segmentation ⋮ Image segmentation based on the hybrid bias field correction ⋮ RVLSM: robust variational level set method for image segmentation with intensity inhomogeneity and high noise ⋮ Efficient convex region-based segmentation for noising and inhomogeneous patterns ⋮ Multimodal object segmentation using geodesic distance and regional marker points in active contour approach




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