In:
Image Analysis & Stereology, Slovenian Society for Stereology and Quantitative Image Analysis, Vol. 38, No. 1 ( 2019-04-11), p. 75-
Abstract:
Wrinkles or creases are common structures on surfaces. Their detection is often challenging, and can be an important step for many different applications. For instance, skin wrinkle segmentation is a crucial step for quantifying changes in skin wrinkling and assessing the beneficial effects of dermatological and cosmetic anti-ageing treatments. A 2.5D approach is proposed in this paper to segment individual wrinkles on facial skin surface described by 3D point clouds. The method, based on mathematical morphology, only needs a few physical parameters as input, namely the maximum wrinkle width, the minimum wrinkle length, and the minimum wrinkle depth. It has been applied to data acquired from eye wrinkles using a fringe projection system. An accurate evaluation was made possible thanks to manual annotations provided by three different experts. Results demonstrate the accuracy of this novel method.
Type of Medium:
Online Resource
ISSN:
1854-5165
,
1580-3139
Language:
Unknown
Publisher:
Slovenian Society for Stereology and Quantitative Image Analysis
Publication Date:
2019
detail.hit.zdb_id:
2121320-3
SSG:
11
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