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High-density impulse noise removal using fuzzy mathematical morphology.

, , , and . EUSFLAT Conf., Atlantis Press, (2013)

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A New Method for Detection and Initial Pose Estimation Based on Mumford-Shah Segmentation Functional., , and . IbPRIA, volume 2652 of Lecture Notes in Computer Science, page 117-125. Springer, (2003)Review on Computer Vision Techniques in Emergency Situation., , , , and . CoRR, (2017)Hair Segmentation and Removal in Dermoscopic Images Using Deep Learning., , and . IEEE Access, (2021)Sickle-cell disease diagnosis support selecting the most appropriate machine learning method: Towards a general and interpretable approach for cell morphology analysis from microscopy images., , , and . Comput. Biol. Medicine, (2020)A Fuzzy Filter for High-Density Salt and Pepper Noise Removal., , , and . CAEPIA, volume 8109 of Lecture Notes in Computer Science, page 70-79. Springer, (2013)FIDOC: A New Combination of Fuzzy Impulse Noise Detection and Open-Close Filtering., and . EUSFLAT/AGOP, volume 14069 of Lecture Notes in Computer Science, page 220-231. Springer, (2023)Human Body Segmentation and Matching using Biomechanics 3D models., , , , and . IV, page 79-84. IEEE Computer Society, (2004)Discrete t-norms in a fuzzy mathematical morphology: Algebraic properties and experimental results., , and . FUZZ-IEEE, page 1-8. IEEE, (2010)Fuzzy Hit-or-Miss Transform Using the Fuzzy Mathematical Morphology Based on T-norms., , , and . AGOP, volume 228 of Advances in Intelligent Systems and Computing, page 391-403. Springer, (2013)Upper Body Tracking for Interactive Applications., , , and . AMDO, volume 4069 of Lecture Notes in Computer Science, page 514-523. Springer, (2006)