Posterior Approximate Clustering-Based Sensitivity Matrix Decomposition for Electrical Impedance Tom...
Posterior Approximate Clustering-Based Sensitivity Matrix Decomposition for Electrical Impedance Tomography
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Publisher
Switzerland: MDPI AG
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English
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Switzerland: MDPI AG
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This paper introduces a sensitivity matrix decomposition regularization (SMDR) method for electric impedance tomography (EIT). Using
-means clustering, the EIT-reconstructed image can be divided into four clusters, derived based on image features, representing posterior information. The sensitivity matrix is then decomposed into distinct work ar...
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Full title
Posterior Approximate Clustering-Based Sensitivity Matrix Decomposition for Electrical Impedance Tomography
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TN_cdi_doaj_primary_oai_doaj_org_article_9e87bf2649a348dfa7fcaf6ceac9c3d2
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_9e87bf2649a348dfa7fcaf6ceac9c3d2
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ISSN
1424-8220
E-ISSN
1424-8220
DOI
10.3390/s24020333
