Comparison of PDE-based nonlinear diffusion approaches for image enhancement and denoising in optical coherence tomography

IEEE Transactions on Medical Imaging

Volumn 26, Issue 6, 2007, Pages 761-771

  Salinas, Harry M ^a   Fernández, Delia Cabrera ^b  

^a MOUNT SINAI SCHOOL OF MEDICINE   (United States)

^b UNIVERSITY OF MIAMI MILLER SCHOOL OF MEDICINE   (United States)

Author keywords

Complex diffusion filter; Image enhancement; Optical coherence tomography; Segmentation; Speckle noise

Indexed keywords

IMAGE SEGMENTATION; NONLINEAR OPTICS; OPTICAL FILTERS; OPTICAL TOMOGRAPHY; SIGNAL TO NOISE RATIO; SPECKLE;

COMPLEX DIFFUSION FILTERS; CONTRAST TO NOISE RATIO (CNR) IMPROVEMENTS; NONLINEAR DIFFUSION; SPECKLE NOISE;

IMAGE ENHANCEMENT;

ALGORITHM; ARTICLE; ARTIFACT; BIOLOGICAL MODEL; COMPARATIVE STUDY; COMPUTER ASSISTED DIAGNOSIS; COMPUTER SIMULATION; EVALUATION; IMAGE ENHANCEMENT; IMAGE QUALITY; INSTRUMENTATION; METHODOLOGY; NONLINEAR SYSTEM; OPTICAL COHERENCE TOMOGRAPHY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY;

ALGORITHMS; ARTIFACTS; COMPUTER SIMULATION; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; MODELS, BIOLOGICAL; NONLINEAR DYNAMICS; PHANTOMS, IMAGING; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; TOMOGRAPHY, OPTICAL COHERENCE;

EID: 34249676958     PISSN: 02780062     EISSN: None     Source Type: Journal    
DOI: 10.1109/TMI.2006.887375     Document Type: Article

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