• Journal of Radiation Protection and Research
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• v.48 no.3
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• pp.144-152
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• 2023

Background: Color texture analysis was applied as a tool for quantitative evaluation of radiation-induced skin injuries. Materials and Methods: We prospectively selected 20 breast cancer patients who underwent whole-breast radiotherapy after breast-conserving surgery. Color images of skin surfaces for irradiated breasts were obtained by using a mobile skin analyzer. The first skin measurement was performed before the first fraction of radiotherapy, and the subsequent measurement was conducted approximately 10 days after the completion of the entire series of radiotherapy sessions. For comparison, color images of the skin surface for the unirradiated breasts were measured similarly. For each color image, six co-occurrence matrices (red-green [RG], red-blue [RB], and green-blue [GB] from color channels, red [R], green [G], blue [B] from gray channels) can be generated. Four textural features (contrast, correlation, energy, and homogeneity) were calculated for each co-occurrence matrix. Finally, several statistical analyses were used to investigate the performance of the color textural parameters to objectively evaluate the radiation-induced skin damage. Results and Discussion: For the R channel from the gray channel, the differences in the values between the irradiated and unirradiated skin were larger than those of the G and B channels. In addition, for the RG and RB channels, where R was considered in the color channel, the differences were larger than those in the GB channel. When comparing the relative values between gray and color channels, the 'contrast' values for the RG and RB channels were approximately two times greater than those for the R channel for irradiated skin. In contrast, there were no noticeable differences for unirradiated skin. Conclusion: The utilization of color texture analysis has shown promising results in evaluating the severity of skin damage caused by radiation. All textural parameters of the RG and RB co-occurrence matrices could be potential indicators of the extent of skin damage caused by radiation.

• 한국HCI학회:학술대회논문집
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• 2009.02a
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• pp.193-196
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• 2009

Most of studies adopt a fixed skin color model to segment skin color region in a single image. The methods, however, result in low detection rates or high false positive error rates since the distribution of skin color is varies depending on the characteristics of input image. For the effective skin color segmentation, therefore, we need a adaptive skin color model which changes the model depending on the color distribution of input image. In this paper, we propose a novel adaptive skin color segmentation algorithm consisting of 2 stages which results in both high detection rate and low false positive error rate.

• Journal of the Korean Society of Clothing and Textiles
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• v.27 no.11
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• pp.1338-1349
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• 2003

The color of apparels has the close interdependency on the skin colors of the wearers. This study was carried out to group the skin colors of Korean males into several similar skin colors and to analyze their preference colors. The skin colors were measured quantitatively and classified into several clusters that has similar hue, value and chroma with Munsell color system that is internationally used to communicate the colors. Sample size was 420 Korean males. With color spectrometer, JX-777, 4 points of the body were measured. All subjects had been shown with 40 color chips and answered their preference colors. Data were analysed by K-means Cluster analysis, Duncan test, Frequency and Chi square test using SPSS WIN 10 statistical package. Findings were as follows: 1. The skin colors of Korean males were mixed with skin colors of YR, R, and Y. 2. 420 subjects who have YR color were clustered in 3 kinds of skin color groups. 3. The average face color of total subjects was 4.81YR 5.91/4.97 in Munsell color system, 60.74 in L value, 13.71 in a value, 24.54 in b value. 136 observations out of 420 subjects were composed of Type 1: 4.50YR 6.35/4.87 and 192 observations were composed of Type 2: 4.62YR 5.86/5.12 and 92 observations were composed of Type 3: 5.67YR 5.37/4.79. 4. The average skin color of total 420 subjects was 6.26YR 6.07/4.41 and 62.33 in L value, 10.64 in a value, 23.48 in b value. The average skin color of Type 1 was 6.27YR 6.44/4.27 and of Type 2 was 6.15YR 5.91/4.49 and of Type 3 was 6.49YR 5.84/4.43 respectively. 5. 3 groups showed that the most preference color of sport$.$casual was 2.5Y 8/16 and 7.5PB 4/16 and the most preference color to their skins was 7.5PB 4/16 and 7.5YR 7/16.

• Proceedings of the IEEK Conference
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• 2002.06d
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• pp.5-8
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• 2002

The paper handles a skin tone enhancement within digitalized images, which is based on human favorite skin color. To archive a human-favorite skin tone area, lots of observers are participated in visual experiments. The statistical result of the visual experiment was reflected in a proposed skin tone enhancement algorithm and gives more reasonable human-friendly skin color reproduction on a display device. This research was accomplished to implement in our DTV related application.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.45 no.6
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• pp.38-43
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• 2008

Skin color information is an important feature for face region detection in color images. This can detect face region using statistical skin color model who is created from skin color information. However, due to the including of different race of people's skin color points, this general statistical model is not accurate enough to detect each specific image as we expected. This paper proposes method to detect correctly face region in various color image that other complexion part is included. In this method set face candidate region applying complexion Gausian distribution based on YCbCr skin color model and applied mathematical morphology to remove noise part and part except face region in color image. And achieved correct face region detection because using Haar-like feature. This approach is capable to distinguish face region from extremely similar skin colors, such as neck skin color or am skin color. Experimental results show that our method can effectively improve face detection results.

• Proceedings of the Korea Society of Information Technology Applications Conference
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• 2005.11a
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• pp.153-156
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• 2005

Skin region detection in images is an important process in many computer vision applications targeting humans such as hand gesture recognition and face identification. It usually starts at a pixel-level, and involves a pre-process of color spae transformation followed by a classification process. A color space transformation is assumed to increase separability between skin classes and other classes, to increase similarity among different skin tones, and to bring a robust performance under varying imaging conditions, without any complicated analysis. In this paper, we examine if the color space transformation actually brings those benefits to the problem of skin region detection on a set of human hand images with different postures, backgrounds, people, and illuminations. Our experimental results indicate that color space transfomation affects the skin detection performance. Although the performance depends on camera and surround conditions, normalized [R, G, B] color space may be a good choice in general.

• Journal of the Korean Institute of Oriental Medical Informatics
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• v.14 no.2
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• pp.73-79
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• 2008

Objectives : We investigated the correlation of the skin color to blood circulation on the face of Korean female by noninvasive-skin measuring devices. Methods : Korean female(37.47${\pm}$3.66 years, n=36) aged 30-45 years were participated in this study. We measured the skin color of the face with Spectrophotometer CM2600d (Minolta, Japan) and the skin blood flow with Laser Doppler Imaging-Periscan PIM II (Perimed AB, Sweden). The skin color and blood circulation of three groups (30-35 years, 36-40 years, 41-45 years) divided on age were analyzed by paired-t test and regression analysis. Results : The L* values of the skin were decreased and the a* values were increased significantly with age. This means that the more age increase, the more the skin is dark and red. But the skin blood flow was not significantly different with age and skin color. Conclusions : In the oriental medicine, It was reported that the face of the female over 35 years is changed gradually haggard and the blood circulation is decreased. In our study, the blood circulation was not changed and the skin color was dark and red with increasing the age. We think this symptom resulted from the better nutrition than the past, the change of the blood-quality and this changes were too sensitive to be measured by Laser Doppler Imaging system.

• Journal of the Korean Home Economics Association
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• v.47 no.1
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• pp.85-91
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• 2009

Dyeability and antimicrobial property of dyed pig skin with Coptis chinensis Franch was investigated. Dyestuff was extracted with water and concentrated. Pig skin was dyed and mordanted according to various dyeing temperature, dyeing time, dyestuff concentration, mordanting methods and kinds of mordants. The results of this experiment were as follows: 1. Dyeability of pig skin with Coptis chinensis Franch was best at 200%(owf) dyestuff concentration, 50${^{\circ}C}$ dyeing temperature, and 20min. dyeing time. 2. Pre-mordanting by Cu improved the K/S values of dyed pig skin. 3. Surface color and color difference of dyed pig skin showed various results according to the mordants used : generally their color was yellow, Al post-mordanted pig skin showed the greatest color difference. 4. Color fastness to drycleaning was considerably high in case of staining compared to fading. Fastness to light was improved by Cu-mordanting while other treatments were not effective. 5. Antimicrobial property of samples was not different (99.9%) between untreated and treated.

• Proceedings of the SCSK Conference
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• 2003.09b
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• pp.438-447
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• 2003

We selected 113 subjects (male:59, female:54) in 20 to 29 age and observed the skin color difference between female and male. Also we measured the minimal persistent pigment darkening dose (MPPD) in same subjects. The skin colors of upper inner arm and back were measured with chromameter (CR10, Minolta, Japan) which represents skin color as $L^{*}$, $a^{*}$, and $b^{*}$ in value. MPPD was measured with solar simulator multi-port 601(Solarlight Co. USA). All statistical analysis was performed on the computer software package SPSS 8.0. The skin colors between male and female was significant difference in back and upper inner arm. There was significant difference of skin colors between back and upper inner arm in both male and female. There was no relationship existed between the values of MPPD and skin color ( $L^{*}$ $a^{*}$ $b^{*}$) of back in both male and female. As a result of survey, we knew that there was apparent difference of skin color between back and upper inner arm due to gender. Also we hope these data will be helpful to study on the correlation of the pigmentation index and skin color.(omitted)omitted)ted)

• Proceedings of the IEEK Conference
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• 2000.06d
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• pp.218-221
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• 2000

In this paper, we propose a new algorithm to detect human faces for controling a camera used in video conference. We model the distribution of skin color and set up the standard skin color in YIQ color space. An input video frame image is segmented into skin and non-skin segments by comparing the standard skin color and each pixels in the input video frame. Then, shape filler is applied to select face segments from skin segments. Our algorithm detects human faces in real time to control a camera to capture a human face with a proper size and position.