Volume 25, Issue 5 pp. 631-638
ORIGINAL ARTICLE

New image analysis tool for facial pore characterization and assessment

Bandara Dissanayake

Corresponding Author

Bandara Dissanayake

Research and Development, Beauty Care, P&G International Operations (SA) Singapore Branch, Singapore, Singapore

Correspondence

Bandara Dissanayake, Research and Development, Beauty Care, P&G International Operations (SA) Singapore Branch, Singapore, Singapore.

Email: [email protected]

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Kukizo Miyamoto

Kukizo Miyamoto

Research and Development, Beauty Care, P&G Kobe GO and Innovation Center, Chuo-ku Kobe, Hyogo-ken, Japan

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Ankur Purwar

Ankur Purwar

Research and Development, Beauty Care, P&G International Operations (SA) Singapore Branch, Singapore, Singapore

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Rose Chye

Rose Chye

Research and Development, Beauty Care, P&G International Operations (SA) Singapore Branch, Singapore, Singapore

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Akira Matsubara

Akira Matsubara

Research and Development, Beauty Care, P&G International Operations (SA) Singapore Branch, Singapore, Singapore

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First published: 13 March 2019
Citations: 23

Abstract

Background

Visible facial pores are an important cosmetic concern especially among young females. Number of different methodologies is used today to assess facial pores and efficacy of technologies. Main limitations of these methods are, however, (a) moderate correlation with visual perception, (b) characterization is mostly limited to size or number of pores, (c) measurement is limited to a smaller area of face, and (d) operational difficulties. In order to address these limitations, we developed a 2D image analysis tool to assess and characterize visible facial pores.

Materials and Methods

Two clinical studies were conducted with northeast Asian skin type females. In the first study, 40 subjects age between 20 and 40 with different degree of pore severity were recruited. In the second study, 15 subjects age between 20 and 40 with enlarged pores were recruited to evaluate pore product efficacy. In both studies, full face images were taken using Visia-CR and assessed by means of the newly developed tool and visual grading.

Results

A high correlation between visual grading and pore size was obtained (r = 0.86). New methodology was able to differentiate products similar to visual grading.

Conclusion

Novel pore image analysis method using 2D skin surface imaging with standard photography has been developed and validated. In addition to pore size measurements, we propose this method to be used to measure pore shape, color, and orientation for a comprehensive characterization of facial pores.

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