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Isolated Vector Median Filtering Using K-Means Clustering for Impulse Noise Reduction in Digital Images with Application to Medical Diagnosis of Sars-Cov-2 Covid19 Disease

2022-03-07

Abstract excerpt

This paper proposes a new approach for filtering out impulse noise in digital color images. This work is of critical interest in biomedical imaging, visual tracking, etc. The conventional filtering methods operate by applying a noise reduction scheme, generally the vector median filtering approach and its variants, for the center pixel of a suitably chosen window that iteratively slides along the entire image. The...

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Literature Corpus work: 73239908-d8fa-51fa-ba8c-7b9ee0ff9054
DOI: 10.2139/ssrn.4051353

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Isolated Vector Median Filtering Using K-Means Clustering for Impulse Noise Reduction in Digital Images with Application to Medical Diagnosis of Sars-Cov-2 Covid19 DiseaseDOI 10.2139/ssrn.4051353Read

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