• Title/Summary/Keyword: classification skin

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INVESTIGATION OF SKIN TYPES BASED ON THE STRATUM CORNEUM LIPID LEVELS

  • Hikima, R.;Ohta, M.;Arai, S.
    • Proceedings of the SCSK Conference
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    • 1999.10a
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    • pp.132-132
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    • 1999
  • In the cosmetics field, facial skins have been classified into four types according to self estimation as well as physiological parameters. The aim of this study is to understand skin condition in the levels and composition of stratum corneum (SC) lipids, and to propose new classification for skin types. We assessed the relationship between the SC lipid composition and the self-estimated skin types or physiological parameters of the skin. Sensitive skin has been of great concern over the last decades, and it should be recognized as a skin type. Therefore, we also investigated the influence of the SC lipid composition on variations of sensitivity evaluated by the Stinging Test. Fifty-five healthy Japanese women aged 22-44 participated in this study. Skin biopsies were taken from facial skin using polyethylene sheet with cyanoacrylate. SC lipids were extracted and separated into individual lipid classes. The combined ceramides and cholesterol were quantified by HPTLC. Free fatty acid was quantified according to the ACS-ACOD method. Instrumental measurements were made at the site around the biopsy. In addition, the Stinging Test and a sensory evaluation questionnaire were administered to all subjects. The generally recognized O-D skin type classification is dependent on the consumer`s subjective assessment with respect to their skin troubles. The product of hydration state and skin surface lipid level showed a significant correlation with self-estimated skin types. The oily-dry skin type classified according to physiological parameters as well as SC lipid levels should be characterized as delicate skin with its barrier function deteriorating in the winter. Two groups of sensitive skin were established. One is the barrier function of the skin is deteriorated, and another is the sebaceous gland activity is in decline.

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Classification of Make-up (현대 메이크 업의 분류)

  • Shin, Seong-Yoon;Shin, Kwang-Seong;Nam, Soo-Tai
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2021.05a
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    • pp.344-345
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    • 2021
  • In this paper, the classification and types of makeup were newly written appropriately for the present day. And the exact meaning of makeup was newly designated. Make-up protects the skin from various external environmental changes. In addition, it has a beautification function that hides many flaws in our skin and makes it beautiful.

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Classification Method of Harmful Image Content Rates in Internet (인터넷에서의 유해 이미지 컨텐츠 등급 분류 기법)

  • Nam, Taek-Yong;Jeong, Chi-Yoon;Han, Chi-Moon
    • Journal of KIISE:Information Networking
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    • v.32 no.3
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    • pp.318-326
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    • 2005
  • This paper presents the image feature extraction method and the image classification technique to select the harmful image flowed from the Internet by grade of image contents such as harmlessness, sex-appealing, harmfulness (nude), serious harmfulness (adult) by the characteristic of the image. In this paper, we suggest skin area detection technique to recognize whether an input image is harmful or not. We also propose the ROI detection algorithm that establishes region of interest to reduce some noise and extracts harmful degree effectively and defines the characteristics in the ROI area inside. And this paper suggests the multiple-SVM training method that creates the image classification model to select as 4 types of class defined above. This paper presents the multiple-SVM classification algorithm that categorizes harmful grade of input data with suggested classification model. We suggest the skin likelihood image made of the shape information of the skin area image and the color information of the skin ratio image specially. And we propose the image feature vector to use in the characteristic category at a course of traininB resizing the skin likelihood image. Finally, this paper presents the performance evaluation of experiment result, and proves the suitability of grading image using image feature classification algorithm.

Clinical Study on the Relations of the Thickness and the Stiffness of Back Skin of the Hand to Sasang Constitutions Depending on Sex and Age (연령 및 성별에 따른 사상체질별 손등 피부의 두께와 경도 특성에 대한 임상 연구)

  • Lee, Su-Heon;Choi, Sun-Mi;Kim, Hong-Gie;Kim, Jong-Yeol
    • Journal of Physiology & Pathology in Korean Medicine
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    • v.19 no.2
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    • pp.561-567
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    • 2005
  • We statistically analyzed the relationship between the constitution and the thickness and stiffness of skin depending on sex and age, using 1079 clinical data registered to SCIB(Sasang constitution Information Bank), and the following results are obtained : The thickness of skin has big discrimination ability in classification of Taeeumin and Soyangin, especially in women and in ages 21 or more. The stiffness of skin also has big discrimination ability in classification of Taeeumin and Soeumin, especially in Taeumin women and Soeumin man and in ages 21-60. The differences stated above have been proved to be meaningful enough by Chi-square test.

Clinical Study on the Relations of the Refineness and the Tactile of Back Skin of the Hand to Sasang Constitutions depending on sex and age (연령 및 성별에 따른 사상체질별 손등 피부의 조직 세밀도 및 감촉 특성에 대한 임상 연구)

  • Lee, Su-Heon;Joo, Jong-Cheon;Yoon, Yoo-Sik;Kim, Jong-Yeol
    • Journal of Physiology & Pathology in Korean Medicine
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    • v.19 no.2
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    • pp.536-543
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    • 2005
  • We statistically analyzed the relationship between the constitution and the refineness and tactile of skin depending on sex and age, using 1079 clinical data registered to SCIB(Sasang constitution Information Bank), and the following results are obtained: The thickness of skin has big discrimination ability in classification of Taeeumin and Soyangin, especially in women and in ages 21 or more. The stiffness of skin also has big discrimination ability in classification of Taeeumin and Soeumin, especially in Taeumin women and Soeumin man and in ages 21-60. The differences stated above have been proved to be meaningful enough by Chi-square test.

Fuzzy Control of Anti -Sway Motion for a Remote Crane Operation

  • Park, Sun-Won;Kang, E-Sok
    • 제어로봇시스템학회:학술대회논문집
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    • 2001.10a
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    • pp.42.1-42
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    • 2001
  • This paper presents a fuzzy-based method for classification skin color object in a complex background under varying illumination. Parameters of fuzzy rule base are generated using a genetic algorithm(GA). The color model is used in the YCbCr color space. We propose a unique fuzzy system in order to accommodate varying background color and illumination condition. This fuzzy system approach to skin color classification is discussed along with an overview of YCbCr color space.

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Skin Color Detection Using Partially Connected Multi-layer Perceptron of Two Color Models (두 칼라 모델의 부분연결 다층 퍼셉트론을 사용한 피부색 검출)

  • Kim, Sung-Hoon;Lee, Hyon-Soo
    • Journal of the Institute of Electronics Engineers of Korea CI
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    • v.46 no.3
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    • pp.107-115
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    • 2009
  • Skin color detection is used to classify input pixels into skin and non skin area, and it requires the classifier to have a high classification rate. In previous work, most classifiers used single color model for skin color detection. However the classification rate can be increased by using more than one color model due to the various characteristics of skin color distribution in different color models, and the MLP is also invested as a more efficient classifier with less parameters than other classifiers. But the input dimension and required parameters of MLP will be increased when using two color models in skin color detection, as a result, the increased parameters will cause the huge teaming time in MLP. In this paper, we propose a MLP based classifier with less parameters in two color models. The proposed partially connected MLP based on two color models can reduce the number of weights and improve the classification rate. Because the characteristic of different color model can be learned in different partial networks. As the experimental results, we obtained 91.8% classification rate when testing various images in RGB and CbCr models.

Enhancement of Transdermal Drug Delivery Using Ultrasound (초음파를 이용한 경피약물수송의 촉진)

  • Park, Seung-Kyu;Kim, Tae-Youl
    • The Journal of Korean Physical Therapy
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    • v.13 no.3
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    • pp.719-726
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    • 2001
  • Transdermal drug delivery offers various advantages over conventional drug delivery systems, such as avoidance gastrointestinal degradation and hepatic first-pass effect. encourages patient compliance. and possible sustained release of drugs. However, transdermal transport of drugs is low permeability of the stratum corneum, the superficial layer of the skin. Many physicochemical and biological factors influencing transdermal transport is described together with the corresponding experimental and clinical results. Phonophoresis is medical treatment with drugs introduced into the skin by ultrasound energy. Enhanced drug penetration is through to result from the biophysical alterations of skin structure by ultrasound waves. The frequency used for phonophoresis is usually from 20 kHz to 15MHz. Phonophoresis can be categorized in to three ranges: low-frequency range(below 1 MHz). therapeutic frequency range(1 to 3MHz), and high-frequency range(above 3 MHz). The depth of penetration of ultrasound into skin is inversely proportional to the frequency. Cavitation may cause mechanical stress. temperature elevation, or enhanced chemical reactivity causing drug transport. One theory is that ultrasound affects the permeation of the stratum corneum lipid structure as the limiting step in permeating through the skin. The range of indications for phonophoresis is wide. Aspecific classification of the range of indications is obtained by classification of pathological conditions. The continuous research is needed for many interesting issucs of phonophoretic transdermal delivory in new future.

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Robust Skin Area Detection Method in Color Distorted Images (색 왜곡 영상에서의 강건한 피부영역 탐지 방법)

  • Hwang, Daedong;Lee, Keunsoo
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.18 no.7
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    • pp.350-356
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    • 2017
  • With increasing attention to real-time body detection, active research is being conducted on human body detection based on skin color. Despite this, most existing skin detection methods utilize static skin color models and have detection rates in images, in which colors are distorted. This study proposed a method of detecting the skin region using a fuzzy classification of the gradient map, saturation, and Cb and Cr in the YCbCr space. The proposed method, first, creates a gradient map, followed by a saturation map, CbCR map, fuzzy classification, and skin region binarization in that order. The focus of this method is to rigorously detect human skin regardless of the lighting, race, age, and individual differences, using features other than color. On the other hand,the borders between these features and non-skin regions are unclear. To solve this problem, the membership functions were defined by analyzing the relationship between the gradient, saturation, and color features and generate 108 fuzzy rules. The detection accuracy of the proposed method was 86.35%, which is 2~5% better than the conventional method.