A quantitative evaluation method of skin texture affected by skin ageing using replica images of the cheek

Ryu, Ja Hyun; Seo, Young Kyoung; Boo, Yong Chool; Chang, Min-Youl; Kwak, Taek Jong; Koh, Jung Hee

doi:10.1111/ics.12120

Cited by 15 publications

(19 citation statements)

References 11 publications

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“…6), thus it deserved special attention. Ryu et al [12] have shown through the use of skin replicas that the number of 'star configurations' (intersections) on left cheek skin decreases with age, a result that agrees with our data. To verify the accuracy of the automatic detection and calculation of intersections in our study, we also counted the intersections manually.…”

Section: Discussionsupporting

confidence: 92%

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Age Estimation Based on Skin Surface Images

He¹,

Li²,

Jiang³

et al. 2017

Proceedings of the 2nd International Conference on Biomedical and Biological Engineering 2017 (BBE 2017)

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Abstract. This paper presents a model of detection age which quantifies the appearance changes of human skin at different stages of aging without traditional skeleton. We provide a novel method to extract age-related primitive features from skin surface images obtained by a digital camera, including skin surface heterogeneity parameters of the standard deviation of gray (Std) and the information entropy (Entropy) of skin images, the skin surface texture variations parameters of the mean area of the grids (MA) and the number of intersections (NI). Skin surface images of 97 individuals have been analyzed by our image processing program. The results show that the four parameters were statistically correlated with age, indicating their potential for the routine evaluation of skin aging.

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Section: Discussionsupporting

confidence: 92%

“…The microscopic appearance of the skin surface was a net-like structure which was composed of primary and secondary lines [12]. These lines intersected each other to form polygons (grids) and intersections.…”

Section: Texture Featuresmentioning

confidence: 99%

Age Estimation Based on Skin Surface Images

He¹,

Li²,

Jiang³

et al. 2017

Proceedings of the 2nd International Conference on Biomedical and Biological Engineering 2017 (BBE 2017)

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“…To date, investigations into aging that estimate skin age in living subjects have been performed using the face, back of hand, or neck, which are all areas exposed to sunlight . Based on the results of the present study, measuring texture and roughness of unexposed skin eliminates the effects of sunlight exposure and shows the general age‐associated changes for an individual, while measuring erythema of exposed skin shows age‐associated changes that also encompass the effect of sunlight.…”

Section: Discussionmentioning

confidence: 85%

“…With aging, the ridges increase in size, become distorted, and disappear . The number of cross‐hatches therefore decreases with age, leading to a smaller texture value with increasing age . The roughness parameter changes due to aging‐associated atrophy of the structural components of skin tissue .…”

Section: Discussionmentioning

confidence: 99%

Age estimation based on visual parameters of the skin of cadavers

Tsuboi

Yokota

Miyamori

et al. 2019

Skin Research and Technology

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Background Previous studies have reported relationships between various visual parameters of the skin and changes due to aging. Due to an increase in the discovery of unidentified bodies, the field of forensic medicine anticipates the development of a rapid method for estimating age. The present study measured various visual parameters of the skin in human remains and investigated the correlation between these parameters and age. Materials and Methods Skin images were taken of four body parts (cheek, chin, brachium, and thigh) of 414 forensic cases. We interpreted eight visual parameters of the skin (smoothness, roughness, texture, dullness, brightness, erythema, color phase, and sagging) from skin photograph images, and constructed three age‐prediction models, categorized by sex, postmortem interval, and age. Results Significant correlations were observed in the erythema of the cheek and chin, the roughness of the brachium, and the texture of the brachium and thigh among the visual parameters calculated in four body parts, using the three models. The root‐mean‐square errors, which indicate the precision of the three prediction models, were 13.06, 13.80, and 13.77. The only model that demonstrated a correlation with the visual parameters was sex (but not age or postmortem interval). Conclusion Similar to living subjects, we observed a correlation with age for a number of visual parameters. The parameters that correlate with age depend on whether the site being measured was exposed to sunlight. Age estimation based on visual parameters requires measurement of visual parameters for skin both exposed and not exposed to sunlight.

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“…노화가 진행됨에 따라 1차 라인은 깊고 넓어지며 2차 라인은 사라지면서 두 라인 사이의 연결이 불규칙적으로 변화되어 피부 미세구조는 다양 한 형태로 뒤틀리거나(distortion) 변형(deformation)되어 사라지게(disappearance) 된다 [5]. 이러한 피부 표면 미 세구조의 변화는 피부의 표면에서 반사되는 빛에 변 화를 주어 윤기가 없어지고 피부 톤이 칙칙해지는 등 피부 노화 현상을 일으키게 된다 [6].…”

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Anti-aging Effects of Cedrol and Collagen-derived Peptide

류종성¹,

조환일²,

원지희³

et al. 2015

Journal of the Society of Cosmetic Scientists of Korea

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Skin aging is the phenomena finally expressed on the skin surface and related to the changes in the microstructure of the skin texture. Which is resulted in wrinkle formation and uneven tone of skin and so on. In this study, the synergy effect of Cedrol and a collagen-derived peptide in type Ⅲ collagen synthesis was evaluated by in vitro test. The physiological skin state of 22 female volunteers was measured after using the cosmetics for 4 weeks. Results showed that Cedrol and a collagen-derived peptide had the excellent synergy effect in type Ⅲ collagen synthesis. The cosmetics improved skin microrelief, star configurations, skin gloss, skin tone, hydration and elasticity except skin lightening. In conclusion, this study proved that Cedrol and collagen-derived peptide had the synergy effect of type Ⅲ collagen synthesis in the cell level and cosmetics with those was improved skin aging in human volunteer test.

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A quantitative evaluation method of skin texture affected by skin ageing using replica images of the cheek

Abstract: This study suggests that visual grading of skin texture score based on new facial skin texture index and quantification of star configurations will be useful in evaluating skin ageing.

Cited by 15 publications

References 11 publications

Age Estimation Based on Skin Surface Images

Age Estimation Based on Skin Surface Images

Age estimation based on visual parameters of the skin of cadavers

Anti-aging Effects of Cedrol and Collagen-derived Peptide

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