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Joint Roughness and Wrinkle Detection Using Gabor Filtering and Dynamic Line Tracking
Elliot Naylor, Marius Miknis, Ross Davies
Pages - 211 - 220     |    Revised - 30-09-2019     |    Published - 31-10-2019
Volume - 13   Issue - 5    |    Publication Date - October 2019  Table of Contents
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KEYWORDS
Mobile Devices, Wrinkle, Roughness, Texture Analysis, Line Tracking.
ABSTRACT
Skin quality analysis is a continuously increasing field for the detection of skin dryness, wrinkles and other skin conditions for the recommendation of skin-care products. Each method reveals valuable information on age, disease and general habits. Contributions are being made from companies, but many methods make use of extensive image data and diagnostic equipment that are too expensive to obtain. These would involve people visiting skin-care shops for a diagnosis, which is often time consuming and troublesome. A joint technique is proposed to locate skin roughness as part of an optimized wrinkle detection technique based on the capabilities of mobile devices without the use of diagnostic tools. The technique makes use of thresholding, shape analysis and dynamic line tracking for the analysis of skin roughness and wrinkles.
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Mr. Elliot Naylor
Faculty of Computing, Engineering and Science, University of South Wales - United Kingdom
elliot.naylor@southwales.ac.uk
Dr. Marius Miknis
Faculty of Computing, Engineering and Science, University of South Wales - United Kingdom
Dr. Ross Davies
Faculty of Computing, Engineering and Science, University of South Wales - United Kingdom