A quantitative assessment of the human skin surface using polarized light digital photography and its dermatologic significance

Bae, Eui Jong; Seo, Soo Hong; Kye, Young Chul; Ahn, Hyo Hyun

doi:10.1111/j.1600-0846.2010.00439.x

Cited by 22 publications

(26 citation statements)

References 12 publications

(18 reference statements)

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“…However, environmental lighting conditions and camera settings, as well as human factors (e.g., skills of the photographer), can affect the accuracy of the measurement [7,11]. Recently, several studies have been carried out based on polarized light photography, which involved combinations of polarized light, spectral modelling, digital photography and image analysis [3,7,[12][13][14]. Polarized light has the advantage of blocking the reflectance from the skin surface, such that the characteristics of the epidermal and superficial dermal layers can be observed more clearly [12].…”

Section: Introductionmentioning

confidence: 99%

A validation study of scar vascularity and pigmentation assessment using dermoscopy

Wei

Li‐Tsang

Luk

et al. 2015

Burns

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Section: Introductionmentioning

confidence: 99%

A validation study of scar vascularity and pigmentation assessment using dermoscopy

Wei

Li‐Tsang

Luk

et al. 2015

Burns

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“…By applying a polarization filter [5] and improving the illumination technique are the two possible solutions to improve the performance of the digital dermatoscopy system.…”

Section: Discussionmentioning

confidence: 99%

“…Digital dermatoscopy consists of optical lens system to magnify profile of skin surface, CCD sensor to convert analog image to digital image and interface to a computer [4][5][6]. On the prototype of imaging system, the digital dermatoscopy with build-in luminance system is used.…”

Section: Optical Skin Surface Imaging Techniquesmentioning

confidence: 99%

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Digital Dermatoscopy Method for Human Skin Roughness Analysis

Suprijanto¹,

Nadhira²,

Lestari³

et al. 2011

itbj.ict.

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Abstract. In this study we propose a digital dermatoscopy method to measure the human skin roughness. By using this method we eliminate the use of silicon replica. Digital dermatoscopy consists of handheld digital microscope, image processing and information extraction of skin roughness level. To reduce the noise due to the variation of reflection factor on the skin we use median filter. Hence, by Fourier transform the skin texture is imaged in terms of 2D frequencyspatial distribution. Skin roughness is determined from its entropy, where the roughness level is proportional to the entropy. Three types of experiment have been performed by evaluating: (i) the skin replicas; (ii) young and elderly skin; and (iii) seven volunteers treated by anti wrinkle cosmetic in three weeks period. We find for the first and second experiment that our system did manage to quantify the roughness, while on the third experiment, six of seven volunteers, the roughness are succeeded to be identified.

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“…In this study, we used CIELAB for evaluation of a color. The CIELAB is the most complete color space specified by the International Commission on Illumination, and is designed to approximate human vision and used for the comparative analysis of color in various fields [10,11,12,13,14]…”

Section: Discussionmentioning

confidence: 99%

Improved Brilliant Blue G Staining of the Internal Limiting Membrane with Sharp Cut Filters of a Novel Viewing Filter System

et al. 2013

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Purpose: We developed a new artificial image enhancement system aimed at intraoperative visibility improvement as a clinical prototype. We examined each optical characteristic and change in intraoperative visibility using brilliant blue G (BBG) staining with various sharp cut filters (SCFs). Method: This was a retrospective and observational study. The system was composed of several filters attached to the operating microscope. Six eyes from 6 patients who presented with macular hole and underwent surgery using this system were studied. As a clinical examination, the intraoperative visibility of BBG staining intensities was compared for 4 kinds of SCFs during vitrectomy. Quantitative evaluation was calculated using the International Commission on Illumination 1976 (L*, a*, b*) color space (CIELAB) method. Furthermore, we evaluated each optical characteristic of 4 types of SCFs using extracted porcine eyes and a spectroradiometer as a clinical simulation. Results: Suitable filter selection was possible for this system. The observed color tone and spectral irradiance changes with SCF insertion changed dynamically. In macular hole cases, the color intensities between BBG-stained and nonstained areas were improved using SCF-455 and SCF-520, which was statistically significant (p < 0.05) by CIELAB. Conclusion: The system improved BBG staining intensity with the use of selective SCFs.

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A quantitative assessment of the human skin surface using polarized light digital photography and its dermatologic significance

Abstract: The method used in this study is applicable to the quantitative evaluations of other dermatologic diseases or conditions, especially in relation to skin surface changes.

Cited by 22 publications

References 12 publications

A validation study of scar vascularity and pigmentation assessment using dermoscopy

A validation study of scar vascularity and pigmentation assessment using dermoscopy

Digital Dermatoscopy Method for Human Skin Roughness Analysis

Improved Brilliant Blue G Staining of the Internal Limiting Membrane with Sharp Cut Filters of a Novel Viewing Filter System

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