Objective and quantitative measurement of skin micro-relief by image analysis and application in age-dependent changes.

Yue Wu, Toshiyuki Tanaka
Author Information
  1. Yue Wu: Graduate School of Science and Technology, Keio University, Yokohama, Japan. ORCID
  2. Toshiyuki Tanaka: Faculty of Science and Technology, Keio University, Yokohama, Japan.

Abstract

BACKGROUND: Skin micro-relief has been researched by a variety of devices and methods, which usually are expensive or complicated. On the other hand, skin micro-relief relates to quite a few parameters, and it is hard to evaluate all of them at the same time. In the study, all parameters related to skin micro-relief are extracted and evaluated by image analysis.
MATERIALS AND METHODS: Skin micro-relief evaluation was divided into four aspects: (a) Tamura features method was used to evaluate skin surface. (b) Morphological transform was applied to extract skin pores. (c) Watershed transform was applied to extract skin furrows. (d) labeling operation was used to evaluate the number, area and average area of skin closed polygons. Then, cheek images from 163 healthy Japanese females (0-70 years old) are analyzed to explore the age-dependent changes.
RESULTS: Most parameters increased as age went on with significant differences, such as skin surface coarseness, contrast, skin pore number, area, average area, skin furrow width, skin closed polygon area and skin closed polygon average area. Skin coarseness has a strong correlation with pore area.
CONCLUSION: The method proposed in the study provided a comprehensive and effective assessment of skin micro-relief.

Keywords

References

  1. Skin Res Technol. 2021 Nov;27(6):1072-1080 [PMID: 34117804]
  2. Skin Res Technol. 2009 Nov;15(4):399-406 [PMID: 19832949]
  3. Skin Res Technol. 2014 Aug;20(3):299-306 [PMID: 24267349]
  4. Saudi J Biol Sci. 2017 Mar;24(3):514-518 [PMID: 28386175]
  5. Dermatol Surg. 2016 Mar;42(3):277-85 [PMID: 26918966]
  6. Skin Res Technol. 2018 Aug;24(3):490-498 [PMID: 29468741]
  7. Front Physiol. 2019 Mar 26;10:254 [PMID: 30971936]
  8. Skin Res Technol. 2018 Aug;24(3):367-370 [PMID: 29393550]
  9. Microscopy (Oxf). 2016 Oct;65(5):407-414 [PMID: 27334600]
  10. Skin Res Technol. 2019 Mar;25(2):165-170 [PMID: 30345616]
  11. J Am Acad Dermatol. 2006 Jul;55(1):1-19 [PMID: 16781287]

MeSH Term

Adolescent
Adult
Aged
Cheek
Child
Child, Preschool
Female
Humans
Image Processing, Computer-Assisted
Infant
Infant, Newborn
Middle Aged
Skin
Skin Aging
Skin Care
Young Adult

Word Cloud

Created with Highcharts 10.0.0skinareamicro-reliefSkinparametersevaluatesurfacetransformaverageclosedporestudyimageanalysisevaluationmethodusedappliedextractnumberage-dependentchangescoarsenesspolygonBACKGROUND:researchedvarietydevicesmethodsusuallyexpensivecomplicatedhandrelatesquitehardtimerelatedextractedevaluatedMATERIALSANDMETHODS:dividedfouraspects:TamurafeaturesbMorphologicalporescWatershedfurrowsdlabelingoperationpolygonscheekimages163healthyJapanesefemales0-70 yearsoldanalyzedexploreRESULTS:increasedagewentsignificantdifferencescontrastfurrowwidthstrongcorrelationCONCLUSION:proposedprovidedcomprehensiveeffectiveassessmentObjectivequantitativemeasurementapplicationagingtexturewatershed

Similar Articles

Cited By (3)