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Subtraction of speckle noise in OCT. ( a ) Original B-scan of demineralized enamel via SANTEC <t>(SS-OCT).</t> ( b ) After applying MATLAB median filter. ( c ) After applying MATLAB Wiener filter. ( d ) Speckle noise extracted by subtracting median filter image ( b ) from the original image ( a ); ( e ) speckle noise extracted by subtracting Wiener filter image ( c ) from image ( a ).
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Subtraction of speckle noise in OCT. ( a ) Original B-scan of demineralized enamel via SANTEC (SS-OCT). ( b ) After applying MATLAB median filter. ( c ) After applying MATLAB Wiener filter. ( d ) Speckle noise extracted by subtracting median filter image ( b ) from the original image ( a ); ( e ) speckle noise extracted by subtracting Wiener filter image ( c ) from image ( a ).

Journal: Diagnostics

Article Title: Auto-Segmentation and Quantification of Non-Cavitated Enamel Caries Imaged with Swept-Source Optical Coherence Tomography

doi: 10.3390/diagnostics13233586

Figure Lengend Snippet: Subtraction of speckle noise in OCT. ( a ) Original B-scan of demineralized enamel via SANTEC (SS-OCT). ( b ) After applying MATLAB median filter. ( c ) After applying MATLAB Wiener filter. ( d ) Speckle noise extracted by subtracting median filter image ( b ) from the original image ( a ); ( e ) speckle noise extracted by subtracting Wiener filter image ( c ) from image ( a ).

Article Snippet: The swept-source optical coherence tomography, SANTEC IVS-2000 SS-OCT, with a central wavelength of 1300 nm, and the SANTEC Inner Vision IVS-2000 software were used to acquire the 3D OCT scans in this study.

Techniques: