• The International Journal of Costume Culture
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• v.13 no.2
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• pp.141-153
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• 2010

Fashion needs to be understood as practicality and creative behavior and various movements of paintings act as inspirations of original design for fashion designers. This study seeks to find sources of fashion designs in the works of Mark Rothko who is in the center of color-field abstract. Color-field of Rothko provides infinite inspirations as colors are identically treated as shapes and lighting and textures are all included on top of it. In this study, the purpose is to create color focused artistic fashion design by exploring the possibility of expression with the colors of Rothko as the main motive. The study method is as follows. First, the concept and significance of color-field abstract are researched through documented data. Works of Rothko is divided into three periods according to their characteristics. The background of the formation of color-field abstract of Rothko is understood by analyzing the trends of the works in each period. Second, twenty representative works from 1949 to 1969 are selected and analyzed in formative components of color, shape and textures in order to more accurately understand shape of colors, brilliance, simplicity that appear in the mature color-field abstract of Rothko. Third, preexisting methods of color-field of paintings developed into motives of clothing are studied focusing on the collections from 1997 to 2006. Examples of applications of color-field images in modern fashion designs are analyzed. Fourth, motives are selected based on general characteristics of color-field abstract of Rothko and the results of the formative analysis. Clothing is produced that expresses the colors of the paintings of Rothko more effectively. As the results of the study, restrained shapes and textures and various forms of color combinations shown in color-field abstract of Rothko provided deep inspirations on material composition and color planning for fashion design focused on colors. Additionally, needle-punching technique using wool for the production technique enabled relief texture expressions of materials by colors and effective applications of soft and warm atmosphere of color-field abstract of Rothko on clothing. Especially, the ideology of color-field abstract of Rothko of shaping of colors could be expressed and the direction of the development of motives could be presented at the same time by specifically applying color combination method using horizontal division of atypical color-field from the formative characteristics of color-field abstract of Rothko.

• Korean journal of food and cookery science
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• v.8 no.2
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• pp.147-154
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• 1992

This study was carried out to investigate the rancidity of deep frying foods (cuttlefish and swetpotato) in Incheon city. The samples were collected from 3 snack corners in market, and at 10, 14 and 18 o'clock. The Acid Value, Peroxide Value and TBA value of the fried products were determined and Sensory Evaluation was also performed. The results are as follows: 1. The range of Acid Value was 0.73~1.91 on cuttlefish and 0.33~1.03 on sweetpotato. There was no significant difference in all samples by times and places. 2. The range of Peroxide Value was 3.26~8.23 on cuttlefish and 3.45~11.63 on sweetptato. There was no significant difference in all samples by times and places. 3. the range of TBA Value was 50.03~132.27 on cuttlefish and 30.63~112.83 on sweetpotato. The TBA Value of the products in department store at 18 o'clock more less than mat at 10 o'clock. 4. The Acid Value and TBA Value of sweetpotato was more less than those of cuttlefish. 5. In sensory evaluation, mere was no significant difference by times but significant difference by places on all items. 1) In greasy taste, the first one among cuttlefish products was mat of department store and last one was market product which was much more greasy taste. Among sweetpotato products, the products of department store and near-college were more less greasy man market product. 2) In flavor and overall quality, the product of department store was better than near-college and market products on all samples, 3) In color, the products of department store and near-college were more light man market products on all samples. 4) There was correlation between color and flavor, and overall quality flavor. The flavor and color of products have the effect on the overall quality of products.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.13 no.5
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• pp.313-322
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• 2020

A large volume of data will improve the robustness of deep learning models and avoid overfitting problems. In automatic tongue segmentation, the availability of annotated tongue images is often limited because of the difficulty of collecting and labeling the tongue image datasets in reality. Data augmentation can expand the training dataset and increase the diversity of training data by using label-preserving transformations without collecting new data. In this paper, augmented tongue image datasets were developed using seven augmentation techniques such as image cropping, rotation, flipping, color transformations. Performance of the data augmentation techniques were studied using state-of-the-art transfer learning models, for instance, InceptionV3, EfficientNet, ResNet, DenseNet and etc. Our results show that geometric transformations can lead to more performance gains than color transformations and the segmentation accuracy can be increased by 5% to 20% compared with no augmentation. Furthermore, a random linear combination of geometric and color transformations augmentation dataset gives the superior segmentation performance than all other datasets and results in a better accuracy of 94.98% with InceptionV3 models.

• Smart Media Journal
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• v.9 no.4
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• pp.162-169
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• 2020

Design is a key factor that determines the competitiveness of products in the textile and fashion industry. It is very important to measure the similarity of the proposed design in order to prevent unauthorized copying and to confirm the originality. In this study, a deep learning technique was used to quantify features from images of textile designs, and similarity was measured using Spearman correlation coefficients. To verify that similar samples were actually detected, 300 images were randomly rotated and color changed. The results of Top-3 and Top-5 in the order of similarity value were measured to see if samples that rotated or changed color were detected. As a result, the VGG-16 model recorded significantly higher performance than did AlexNet. The performance of the VGG-16 model was the highest at 64% and 73.67% in the Top-3 and Top-5, where similarity results were high in the case of the rotated image. appear. In the case of color change, the highest in Top-3 and Top-5 at 86.33% and 90%, respectively.

• Proceedings of the SCSK Conference
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• 2003.09a
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• pp.162-177
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• 2003

It has been known that the color of skin reflects the blood flow within. In lips, the capillaries close to the skin surface are numerous; hence lips are redder than the rest of face. However, dermatological research on lips is not as advanced as research on facial or body skin, and little was known about the relationship between relatively dull-colored lips and skin blood flow. The physiological differences between colorful and dull-colored lips were studied by a two-dimensional laser Doppler blood flow analyzer, a spectrometer for the measurement of the degree of oxygen saturation, and a confocal microscope for observing inside lips non-invasively. Dull-colored lips and the corner of lips (dull-colored compared to the center) showed relatively poor blood flow and lower oxygenated hemoglobin. It was found that colorful lips (generally the young) had a blood flow that tended to run straight in parallel with the skin surface. This unique blood-capillary structure can express clear red blood. Those with dull-colored lips had lost this unique structure. Their blood ran perpendicularly from the deep of the skin and down back again into the deep part as like the blood circulation patterns of facial skin. Therefore, the lips of the latter group had fewer blood capillaries near skin surface in the lips than that of the colorful-lips group. A lipstick containing a-glucosyl-hesperidin, which is derived from certain citrus fruits and can enhance blood circulation, was applied for evaluating its effects. Blood flow was increased 30 min after the application. After two weeks of daily application, the lips' condition became noticeably less dull. These findings suggest that the decrease of blood flow in dull-colored lips is caused by the loss of the unique capillary structure and the use of the lipstick to increase blood flow can give a vivid color to lips.

• The Proceedings of the Korean Institute of Illuminating and Electrical Installation Engineers
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• v.11 no.3
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• pp.63-70
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• 1997

The objective of this study was to investigate the color preference and the recognition of color names among college students. The study revealed the following: 1) The most favorite colors included blue, purple, white and green in that order; and the least favorite colors included achromatic colors, ocher and red in that order. 2) Brown was the favorite color in furniture while red was the disliked color; In colthing, white was preferred while red was disliked; Red was appropriate for accent colors, and bright colors were for product packages. 3) In regards with seasonal image, yellow, blue, brown and white were associated with spring, summer, fall and winter, respectively; Blue represented self-image most. 4) Black, grey, red and green in that order showed the higest recognitions in color names while indigo, crimson, deep carmine and havy blue showed the lowesR ; Color name recognitions showed the order of achomatic, neutial, warm and cool colors.

• Journal of the Korean Institute of Landscape Architecture
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• v.33 no.5 s.112
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• pp.83-93
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• 2005

Research was initiated to investigate turf performance under USGA soil system. USGA system 45 centimeters deep was built with rootzone layer, intermediate layer, and drainage layer. Six turfgrass entries were comprised of 3 blends and 3 mixtures from cool-season grasses (CSG). Turfgrass color and quality ratings were best in spring and fall, especially early May to early July and late August to early November. Kentucky bluegrass (KB) consistently produced the greatest performance, while perennial ryegrass (PR) the poorest. Intermediate turf performance between KB and PR was observed with tall fescue (TF). Among CSG mixtures it increased with KB but decreased with PR. There were considerable variations in summer turf Performance. No summer drought injury was found in KB and TF. However, PR showed poor performance through summer as compared with others. Among mixtures, it decreased with PR. It was suggested that PR mix in less than $20\%$ in the mixtures to have an acceptable quality in summer. Cultural intensity also affected it. With lowering mowing height, KB of rhizomatous-type in growth habit kept good quality, while PR and TF with bunch-type in growth habit poor quality. Mowing quality was greatly different among CSG. KB produced clean-cut surface, but PR unclean one. If had an intermediate mowing quality between KB and PR. A great difference in green color retention was observed among CSG. The longest CSG was PR that kept green for 339 days, while the shortest one TF for 267 days. KB continued to keep green for 290 days. The mixtures kept green in color for 292 to 315 days, depending on turfgrass mixing intensity. The greater the PR in content, the longer the green color duration. These results demonstrate that KB was the best and PR the worst among CSG grown in USGA system under a domestic climate, in regards of turf quality, color, mowing quality, summer turf performance and green color duration. KB and TF are most adequate for high-maintenance and low-maintenance area, respectively. In case of mixtures for high-quality turf, it was desirable to use KB-based mixture with PR of below $20\%$ in seeding rate.

• Journal of Internet Computing and Services
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• v.24 no.5
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• pp.29-35
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• 2023

CCTV is used for various purposes such as crime prevention, public safety reinforcement, and traffic management. However, as the range and resolution of the camera improve, there is a risk of exposing personal information in the video. Therefore, there is a need for new technologies that can identify individuals while protecting personal information in images. In this paper, we propose histogram-based singular value decomposition for object identification and tracking. The proposed method distinguishes different objects present in the image using color information of the object. For object recognition, YOLO and DeepSORT are used to detect and extract people present in the image. Color values are extracted with a black-and-white histogram using location information of the detected person. Singular value decomposition is used to extract and use only meaningful information among the extracted color values. When using singular value decomposition, the accuracy of object color extraction is increased by using the average of the upper singular value in the result. Color information extracted using singular value decomposition is compared with colors present in other images, and the same person present in different images is detected. Euclidean distance is used for color information comparison, and Top-N is used for accuracy evaluation. As a result of the evaluation, when detecting the same person using a black-and-white histogram and singular value decomposition, it recorded a maximum of 100% to a minimum of 74%.

• Journal of Internet Computing and Services
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• v.21 no.5
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• pp.49-56
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• 2020

Detecting shadows in images and restoring or removing them was a very challenging task in computer vision. Traditional researches used color information, edges, and thresholds to detect shadows, but there were errors such as not considering the penumbra area of shadow or even detecting a black area that is not a shadow. Deep learning has been successful in various fields of computer vision, and research on applying deep learning has started in the field of shadow detection and removal. However, it was very difficult and time-consuming to collect data for network learning, and there were many limited conditions for shooting. In particular, it was more difficult to obtain shadow data from buildings and satellite images, which hindered the progress of the research. In this paper, we propose a method for generating shadow data from buildings and satellites using Unity3D. In the virtual Unity space, 3D objects existing in the real world were placed, and shadows were generated using lights effects to shoot. Through this, it is possible to get all three types of images (shadow-free, shadow image, shadow mask) necessary for shadow detection and removal when training deep learning networks. The method proposed in this paper contributes to helping the progress of the research by providing big data in the field of building or satellite shadow detection and removal research, which is difficult for learning deep learning networks due to the absence of data. And this can be a suboptimal method. We believe that we have contributed in that we can apply virtual data to test deep learning networks before applying real data.

• Korean Journal of Agricultural Science
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• v.44 no.1
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• pp.104-113
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• 2017

Anthocyanins contained in Rhododendron schlippenbachii (royal azalea) are expressed in a variety of colors and affect flower colors. R. schlippenbachii flowers of seven colors (white, red group: pink, deep pink, red, purple group: light purple, purple, deep purple) were collected from the garden around KT&G building in the college of agriculture and life science. Seven types of anthocyanins [cyanidin 3-O-diglucoside, cyanidin 3-O-arabinoside-5-O-glucoside, cyanidin 3-O-galactoside, peonidin 3-O-arabinoside-5-O-glucoside, cyanidin 3-O-glucoside, cyanidin 3-O-(6"-O-malonyl) arabinoside, cyanidin 3-O-(6"-O-coumaroyl) glucoside] turned out to be from the cyanidin and peonidin series in R. schlippenbachii flowers. Also, seven types of flavonols [azaleatin 3-O-glucoside, azaleatin 3-O-arabinoside, azaleatin 3-O-rhamnoside, quercetin 3-O-galacatoside, quercetin 3-O-glucoside, quercetin 3-O-arabinoside, quercetin 3-O-rhamnoside] were identified in R. schlippenbachii flowers. Total anthocyanin amounts decreased in R. schlippenbachii flowers in the following order: 'deep pink' (8.07) > 'red' (6.37) > 'pink' (5.35) > 'deep purple' (0.78) > 'purple' (0.43) > 'light purple' ($0.22mg{\cdot}g^{-1}$ dry weight, DW) > 'white' (not detected). Total flavonol amounts decreased in the following order: 'pink' (97.78) > 'deep pink' (63.79) > 'deep purple' (61.98) > 'white' (57.58) > 'light purple' (47.06) > 'purple' (46.76) > 'red' ($7.60mg{\cdot}g^{-1}$ dry weight, DW). This study provided the quantitative and qualitative information for the variation of anthocyanin and flavonol compounds in R. schlippenbachii flowers. Furthermore, this information can contribute to the identification of anthocyanin and flavonol compounds in other Rhododendron flowers.