Avanaki, Mohammad R. N., Hojjatoleslami, Ali (2009) Speckle Reduction with Attenuation Compensation for Skin OCT Images Enhancement. In: MIUA, 14th-15th July 2009, Kingston University, London. (Unpublished) (KAR id:27737)
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Abstract
The enhancement of skin image in optical coherence tomography (OCT) imaging can help
dermatologists to investigate tissue layers more accurately, hence the more efficient diagnosis. In this paper, we
propose an image enhancement technique including speckle reduction, attenuation compensation and cleaning to
improve the quality of OCT skin images. A weighted median filter is designed to reduce the level of speckle
noise while preserving the contrast. A novel border detection technique is designed to outline the main skin layers,
stratum corneum, epidermis and dermis. A model of the light attenuation is then used to estimate the absorption
coefficient of epidermis and dermis layers and compensate the brightness of the structures at deeper levels. The
undesired part of the image is removed using a simple cleaning algorithm. The performance of the algorithm has
been evaluated visually and numerically using the commonly used no-reference quality metrics. The results shows
an improvement in the quality of the images.
Keywords: Optical coherence tomography (OCT), Skin, Image enhancement, Speckle reduction, Attenuation
compensation.
Item Type: | Conference or workshop item (Paper) |
---|---|
Subjects: |
Q Science > QA Mathematics (inc Computing science) > QA 9 Formal systems, logics Q Science > QA Mathematics (inc Computing science) > QA801 Analytic mechanics R Medicine > RL Dermatology |
Divisions: |
Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Mathematics, Statistics and Actuarial Science Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Engineering and Digital Arts Divisions > Division of Natural Sciences > Biosciences Divisions > Division of Natural Sciences > Physics and Astronomy |
Depositing User: | S.A. Hojjatoleslami |
Date Deposited: | 19 May 2011 10:07 UTC |
Last Modified: | 16 Nov 2021 10:06 UTC |
Resource URI: | https://kar.kent.ac.uk/id/eprint/27737 (The current URI for this page, for reference purposes) |
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