• Journal of the Korea Computer Graphics Society
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• v.24 no.1
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• pp.9-16
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• 2018

In this paper, we introduce a visualization framework for cell image data obtained from optical diffraction tomography (ODT), including a method for representing cell morphology in 3D virtual environment and a color mapping protocol. Unlike commonly known volume data sets, such as CT images of human organ or industrial machinery, that have solid structural information, the cell image data have rather vague information with much morphological variations on the boundaries. Therefore, it is difficult to come up with consistent representation of cell structure for visualization results. To obtain desired visual representation of cellular structures, we propose an interactive visualization technique for the ODT data. In visualization of 3D shape of the cell, we adopt a volume rendering technique which is generally applied to volume data visualization and improve the quality of volume rendering result by using empty space jittering method. Furthermore, we provide a layer-based independent rendering method for multiple transfer functions to represent two or more cellular structures in unified render window. In the experiment, we examined effectiveness of proposed method by visualizing various type of the cell obtained from the microscope which can capture ODT image and fluorescence image together.

• Journal of the Korean Society of Food Science and Nutrition
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• v.39 no.2
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• pp.287-293
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• 2010

Regarding the physical properties of wheat flour added with lily's root powder, elasticity in farinograms tended to increase as the ratio of added lily's root powder increased. However, viscoelasticity, absorptivity, absorption time, and stability tended to decrease after an initial increase when a certain ratio of lily's root powder was added to the wheat flour. Results from the rapid viscosity analyzer (RVA) indicated that the retention strength, final viscosity, break down, set back value, $P_{max}$ value of the alveogram, and falling number value decreased. As for gaseous release, measured with a rheofermentometer, the total amount of $CO_2$ gas generated and retained tended to decrease. As for the gelatinizing properties in terms of differences in the granularity and the amount of lily's root powder (bulbs) added to wheat flour, the initial gelatinization temperature had no effect regardless of the type or amount of general grinding and minute (ultra-fine, $10\;{\mu}m$) lily's root powder. Meanwhile, the peak viscosity and peak viscosity time exhibited significant differences in 3, 5% general grinding lily's root powder additive groups. On the other hand, there was no significant difference between 3, 5% minute lily's root powder additive groups. This is likely because the activity of the enzyme in wheat flour decreased relatively and differences in the lily's root powder granularity resulted in a variation in water absorptivity. In the preference test, flavor retention of the functional bread increased according to the granularity of lily's root powder and the ratio of added lily's root powder, thus resulting in significant differences in the mouth feel and flavor; the texture and crumb color, however, did not exhibit significant differences.

• Journal of the Korean Society of Food Science and Nutrition
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• v.34 no.4
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• pp.538-543
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• 2005

To improve the Quality of American preferred kimchi (APK), the APK added different ratios of beets were prepared and the Qualities of those kimchi were investigated by measuring the changes of physicochemical, microbiological and sensory characteristics during fermentation at $5^{\circ}C$. The pH of APK added beet (APKB) decreased as the amount of beet increased while total acidity gradually increased. The reducing sugar content was the highest in APKB added $3\%$ beet at early stage of fermentation. The number of Lactobacillus sp. and Leuconostoc sp. were the highest in $3\%$ beet added group during fermentation. In a texture experiment, the hardness of Korean standard kimchi used as control group showed rapidly decrease while the hardness of APKB were decreased slowly as fermentation proceeded. In Hunter's color values of APKB, lightness and redness increased as the amount of beet increased while yellowness decreased. Sensory scores of overall acceptance, taste, texture and appearance evaluated by Americans as sensory panels were the highest in APKB added $1\%$ beet. Americans also preferred fresh kimchi to optimum ripened kimchi. Therefore it was suggested that the American preferred kimchi added $1\%$ beet was the best group among American preferred kimchi groups.

• Journal of the Korean Society of Food Science and Nutrition
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• v.35 no.3
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• pp.373-377
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• 2006

The effect of chlorella addition on the quality characteristics of processed cheese was investigated. Chlorella processed cheese was prepared in the different ratio of chlorella (0.5% (w/w) and 1.0% (w/w)). Chlorella processed cheese was stored at $10{\pm}1^{\circ}C$ and evaluated for the quality characteristics including general composition, pH, the number of microorganisms, oiling off, meltability, rheological properties, color, and sensory evaluation. Contents of moisture, protein, fat, fat in dry matter, and pH values were not different from those of control cheese. Microorganisms were not detected. The degree of oiling off showed no significant difference, but meltability decreased significantly (p<0.05). Hardness and springiness gradually increased significantly (p<0.05), while cohesiveness gradually decreased significantly (p<0.05). The L (lightness) values and the a (redness) values decreased with increasing chlorella contents, but the b (yellowness) values increased with increasing chlorella contents, so color expressed yellowish green. Compared to control cheese made by conventional way, QDA scores of color and mouthfeel of chlorella processed cheese were significantly higher (p<0.05) and the most favorite quality characteristics were shown in the processed cheese with 0.5% (w/w) chlorella (CPC1). These results suggested that health-oriented chlorella processed cheese would be made by the addition of the chlorella.

• Korean Journal of Food Science and Technology
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• v.37 no.5
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• pp.795-800
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• 2005

Effects of licorice (Glycyrrhiza uralensis) extract (LicoS) as sugar substitute on kimchi quality was evaluated by investigating acid formation, growth of lactic acid bacteria, sensory properties, and volatile odor components of LicoS-added kimchi. pH of LicoS-added kimchi unripened or ripened for one day did not differ from other samples, but was slightly increased with two or three days ripening. Acidity of unripened kimchi or kimchi ripened for one day significantly increased by addition of LicoS, while that of kimchi ripened for two or three days significantly decreased (p<0.05). Addition of LicoS had no significant effect on lactic acid bacteria count of kimchi compared to sugar. Overall acceptability and taste of 0.05 and 0.1% LicoS-added kimchi ripened for one to three days were higher than other samples, whereas addition of 0.2% LicoS resulted in lowest overall acceptability, taste, and odor. Color of 0.2% LicoS-added kimchi (except 3 day-ripened sample) was inferior to other samples. LicoS addition had no significant effect on volatile odor components of kimchi.

• The KIPS Transactions:PartA
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• v.11A no.5
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• pp.365-372
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• 2004

Recently, the studies for mesh simplification have been increased according to the application area of the complicate 3D mesh models has been expanded. This paper introduces a novel method for mesh simplification which uses the properties of the mesh model in addition to the geometric locations of the model. The information of the 3D mesh model Includes surface properties such as color, texture, and curvature information as well as geometic information of the model. The most of current simplification methods adopt such geometric information and surface properties individually for mesh simplification. However, the proposed simplification method combines the geometric information and solace properties and applies them to the simplification process simultaneously. In this paper, we exploit the extended geometry based quadric error metric(QEM) which relatively allows fast and accurate geometric simplification of mesh. Thus, the proposed mesh simplification utilizes the quadric error metric based on geometric information and the surface properties such as color, normal, and texture. The proposed mesh simplification method can be expressed as a simple quadric equation which expands the quadric error metric based on geometric information by adding surface properties such as color, normal, and texture. From the experimental results, the simplification of the mesh model based on the proposed method shows the high fidelity to original model in some respects such as global appearance rather than using current geometry based simplification.

• Korean Journal of Heritage: History & Science
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• v.52 no.3
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• pp.188-199
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• 2019

In this study, research trends were investigated by examining important academic research on museum lighting that has been carried out in Korea over the past 30 years. The aim was to highlight important studies conducted in Korea on material deterioration caused by museum lighting and to examine the current status of research on LED light sources to provide direction for future research. The ultimate goal of studies on museum lighting is to improve the long-term conservation effects, and this study examined the latest light sources of each era. Prior to the 1990s, the effects of light sources on relics were assessed by investigating incandescent light bulbs and fluorescent lamps, the first museum exhibition lighting. Then in the 1990s, the introduction of halogen lamps and HID lamps led to the analysis of the characteristics of a light source itself and the introduction of illumination standards. In the 2000s, the lighting environment of museums was investigated based on the characteristics of the light sources that had been studied, and in terms of preservation, research was conducted not only to improve the conservation of relics but also to improve the sentiments of visitors. After 2010, LED lamps were introduced; therefore, material deterioration studies on LED lamps were expanded. During this period, enhancements to LED light sources were made, such as reducing the blue spike area and increasing color rendering. With the development of lighting used in museums and art galleries, the direction of the display preservation criteria has led to the need to prepare advanced standards, covering all aspects from the center of illumination to the consideration of the color of an object and the speed of radiation from the light source. Regular studies of museum lighting in a long-term perspective should be planned to standardize the more advanced conditions of material discoloration.

• Journal of the Korean Institute of Traditional Landscape Architecture
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• v.29 no.3
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• pp.97-105
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• 2011

In the modern urban landscape design, historical and cultural factors are drawing more and more attention in addition to the factor of beauty. To evaluate an urban landscape design, it's quite important to explore the history and culture background of the city. Color of a city reflects the city characteristics and shows the city image. Color planning has become an important part of city landscape design nowadays. A harmonious landscape cannot be without a unified color planning. The color planning should take not only the integrity but also the regionality into consideration. Color planning has a profound impact on public life. This paper studies on streetscape color of two famous places which are Seoul Insa-dong and Shanghai Xintiandi. According to the empirical and comparative study, this paper will give on-site assessment and comprehensive evaluation. Furthermore, this paper will indicate the differences and similarities of the traditional Streetscape of South Korea and China, using the color theories of Korea Image Resource Institute. This survey results will be helpful to the urban landscape color planning.

• Journal of the Korea institute for structural maintenance and inspection
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• v.26 no.2
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• pp.28-36
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• 2022

As port structures are exposed to various extreme external loads such as wind (typhoons), sea waves, or collision with ships; it is important to evaluate the structural safety periodically. To monitor the port structure, especially the rubber fender, a fender segmentation system using a vision sensor and deep learning method has been proposed in this study. For fender segmentation, a new deep learning network that improves the encoder-decoder framework with the receptive field block convolution module inspired by the eccentric function of the human visual system into the DenseNet format has been proposed. In order to train the network, various fender images such as BP, V, cell, cylindrical, and tire-types have been collected, and the images are augmented by applying four augmentation methods such as elastic distortion, horizontal flip, color jitter, and affine transforms. The proposed algorithm has been trained and verified with the collected various types of fender images, and the performance results showed that the system precisely segmented in real time with high IoU rate (84%) and F1 score (90%) in comparison with the conventional segmentation model, VGG16 with U-net. The trained network has been applied to the real images taken at one port in Republic of Korea, and found that the fenders are segmented with high accuracy even with a small dataset.

• Journal of Internet Computing and Services
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• v.23 no.3
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• pp.35-45
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• 2022

Even in recent years, treatment of first-aid patients is still often delayed due to a shortage of medical resources in marginalized areas. Research on automating the analysis of medical data to solve the problems of inaccessibility for medical services and shortage of medical personnel is ongoing. Computer vision-based medical inspection automation requires a lot of cost in data collection and labeling for training purposes. These problems stand out in the works of classifying lesion that are rare, or pathological features and pathogenesis that are difficult to clearly define visually. Anomaly detection is attracting as a method that can significantly reduce the cost of data collection by adopting an unsupervised learning strategy. In this paper, we propose methods for detecting abnormal images on chest X-RAY images as follows based on existing anomaly detection techniques. (1) Normalize the brightness range of medical images resampled as optimal resolution. (2) Some feature vectors with high representative power are selected in set of patch features extracted as intermediate-level from lesion-free images. (3) Measure the difference from the feature vectors of lesion-free data selected based on the nearest neighbor search algorithm. The proposed system can simultaneously perform anomaly classification and localization for each image. In this paper, the anomaly detection performance of the proposed system for chest X-RAY images of PA projection is measured and presented by detailed conditions. We demonstrate effect of anomaly detection for medical images by showing 0.705 classification AUROC for random subset extracted from the PadChest dataset. The proposed system can be usefully used to improve the clinical diagnosis workflow of medical institutions, and can effectively support early diagnosis in medically poor area.