• Journal of Korea Multimedia Society
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• v.21 no.12
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• pp.1379-1386
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• 2018

In this paper, we proposed eyeglass type periorbital wrinkle treatment device for reducing and improving periorbital wrinkles using near infrared LED of 850nm wavelength and galvanic current. The proposed periorbital wrinkle treatment device is equipped with a control system based on F-PCB. It consists of eight near-infrared LEDs and four indicator LEDs for treatment of right and left periorbital wrinkles. The eyeglass frame is coated with conductive material, so galvanic current can flow to the skin of periorbital wrinkle contacted to it. One male adult in the mid-40s was allowed to use the device for 10 minutes every day for 4 weeks. After 4 weeks, image analysis using optical equipment for measuring wrinkles indicated that wrinkle indexes were reduced.

• Journal of KIISE:Software and Applications
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• v.36 no.11
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• pp.936-946
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• 2009

A graph cuts method has recently attracted a lot of attentions for image segmentation, as it can globally minimize energy functions composed of data term that reflects how each pixel fits into prior information for each class and smoothness term that penalizes discontinuities between neighboring pixels. In previous approaches to graph cuts-based automatic image segmentation, GMM(Gaussian mixture models) is generally used, and means and covariance matrixes calculated by EM algorithm were used as prior information for each cluster. However, it is practicable only for clusters with a hyper-spherical or hyper-ellipsoidal shape, as the cluster was represented based on the covariance matrix centered on the mean. For arbitrary-shaped clusters, this paper proposes graph cuts-based image segmentation using mean shift analysis. As a prior information to estimate the data term, we use the set of mean trajectories toward each mode from initial means randomly selected in $L^*u^*{\upsilon}^*$ color space. Since the mean shift procedure requires many computational times, we transform features in continuous feature space into 3D discrete grid, and use 3D kernel based on the first moment in the grid, which are needed to move the means to modes. In the experiments, we investigate the problems of mean shift-based and normalized cuts-based image segmentation methods that are recently popular methods, and the proposed method showed better performance than previous two methods and graph cuts-based automatic image segmentation using GMM on Berkeley segmentation dataset.

• International Journal of Fuzzy Logic and Intelligent Systems
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• v.15 no.1
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• pp.35-44
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• 2015

The main purpose of image enhancement is to improve certain characteristics of an image to improve its visual quality. This paper proposes a method for image contrast enhancement that can be applied to both medical and natural images. The proposed algorithm is designed to achieve contrast enhancement while also preserving the local image details. To achieve this, the proposed method combines local image contrast preserving dynamic range compression and contrast limited adaptive histogram equalization (CLAHE). Global gain parameters for contrast enhancement are inadequate for preserving local image details. Therefore, in the proposed method, in order to preserve local image details, local contrast enhancement at any pixel position is performed based on the corresponding local gain parameter, which is calculated according to the current pixel neighborhood edge density. Different image quality measures are used for evaluating the performance of the proposed method. Experimental results show that the proposed method provides more information about the image details, which can help facilitate further image analysis.

• Journal of the Korean Institute of Telematics and Electronics B
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• v.31B no.2
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• pp.69-79
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• 1994

The conventional machine vision system which has uniform rectangular grid requires tremendous amount of computation for processing and analysing an image especially in 2-D image transfermations such as scaling, rotation and 3-D reconvery problem typical in robot application environment. In this study, the imaging system with nonuiformly distributed image sensors simulating human visual system, referred to as Ploar Exponential Grid(PEG), is compared with the existing conventional uniform rectangular grid system in terms of image resolution and computational complexity. By mimicking the geometric structure of the PEG sensor cell, we obtained PEG-like images using computer simulation. With the images obtained from the simulation, image resolution of the two systems are compared and some basic image processing tasks such as image scaling and rotation are implemented based on the PEG sensor system to examine its performance. Furthermore Fourier transform of PEG image is described and implemented in image analysis point of view. Also, the range and heading-angle measurement errors usually encountered in 3-D coordinates recovery with stereo camera system are claculated based on the PEG sensor system and compared with those obtained from the uniform rectangular grid system. In fact, the PEC imaging system not only reduces the computational requirements but also has scale and rotational invariance property in Fourier spectrum. Hence the PEG system has more suitable image coordinate system for image scaling, rotation, and image recognition problem. The range and heading-angle measurement errors with PEG system are less than those of uniform rectangular rectangular grid system in practical measurement range.

• Cross-Cultural Studies
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• v.26
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• pp.379-404
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• 2012

This study aims to investigate national image of South Korea held by russians. Surveys(based on Free-association Image) and discussion were conducted on LiveJournal (internet blog) with russian netizen. A national image is influenced by a subjective perspective rather than an objective one. Therefore, an image can differ substantially from reality. Futhermore, it takes a long time to change an established image, particularly to a positive image. According to the results, the image of South Korea were dominated by unstable political situations, especially factors related to North Korea. In addition, based on Free-association image, thinking about Korea or Korean, most russians recognize Korea(South) with North Korea. Above all Russians recognize Korea, basing their images on factor of the past or their neighbors-russian korean- or famous Korean brand like Samsung, LG, Hyndai, "Dosirak". Russian netizen did not recognize South Korea as one of leading countries in Asia, paying little attention to South Korea compared to China or Japan. We belive that it is necessary to consider these situations in future efforts to enhance the national image of South Korea.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.16 no.8
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• pp.2552-2570
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• 2022

Underwater images usually have various problems, such as the color cast of underwater images due to the attenuation of different lights in water, the darkness of image caused by the lack of light underwater, and the haze effect of underwater images because of the scattering of light. To address the above problems, the channel attention mechanism, strengthen-operate-subtract (SOS) boosting mechanism and gated fusion module are introduced in our paper, based on which, an underwater image recovery network is proposed. First, for the color cast problem of underwater images, the channel attention mechanism is incorporated in our model, which can well alleviate the color cast of underwater images. Second, as for the darkness of underwater images, the similarity between the target underwater image after dehazing and color correcting, and the image output by our model is used as the loss function, so as to increase the brightness of the underwater image. Finally, we employ the SOS boosting module to eliminate the haze effect of underwater images. Moreover, experiments were carried out to evaluate the performance of our model. The qualitative analysis results show that our method can be applied to effectively recover the underwater images, which outperformed most methods for comparison according to various criteria in the quantitative analysis.

• Proceedings of the Korea Water Resources Association Conference
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• 2021.06a
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• pp.183-183
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• 2021

Deep learning methods and their application have become an essential part of prediction and modeling in water-related research areas, including hydrological processes, climate change, etc. It is known that application of deep learning leads to high availability of data sources in hydrology, which shows its usefulness in analysis of precipitation, runoff, groundwater level, evapotranspiration, and so on. However, there is still a limitation on microclimate analysis and prediction with deep learning methods because of deficiency of gauge-based data and shortcomings of existing technologies. In this study, a real-time rainfall prediction model was developed from a sky image data set with convolutional neural networks (CNNs). These daily image data were collected at Chung-Ang University and Korea University. For high accuracy of the proposed model, it considers data classification, image processing, ratio adjustment of no-rain data. Rainfall prediction data were compared with minutely rainfall data at rain gauge stations close to image sensors. It indicates that the proposed model could offer an interpolation of current rainfall observation system and have large potential to fill an observation gap. Information from small-scaled areas leads to advance in accurate weather forecasting and hydrological modeling at a micro scale.

• Korean Institute of Interior Design Journal
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• v.25 no.4
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• pp.135-146
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• 2016

The purpose of this study is to analyze the correlation between fashion brand image and store space image. To investigate this study further, one of the luxury fashion brands was selected for a case study and surveys were conducted to 200 participants. This study evaluates the factors of fashion brand images that customers associate with a brand before stepping inside the flagship store. Also it analyzes the factors of store space image after the experience of the flagship store. As a result of the correlation analysis based on quantitative statistic measures, the fashion brand image and store space image coincided highest with extraordinary, young and strong characteristics. According to the space elements of the flagship store, the relationship of the brand image with the store image was investigated. As a result of analysis, customers felt the high correlation with the facade among the architectural elements of flagship store. This resulted in that customers consider that the black box of the facade represents originality of this fashion brand as a concept of spatial elements. As a practical implication, companies should understand that the architectural design is a very crucial component in designing the flagship store, as it gives customers their first impression about a brand. The brand image is required to be integrated through the exterior design of the store. The final conclusion of this study shows that the flagship store provides a space where you can experience the corporate value and brand through the space of brand experience and share an emotional image created by the brand as well.

• Journal of the Korea Fashion and Costume Design Association
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• v.10 no.1
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• pp.55-68
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• 2008

This study is aiming to set a characteristic design and a fashion trend by analyzing hat style trends and fashion images shown in fashion collections in recent seven years. Also, based on the result of the analysis on the five world's major collections, the influence and the interrelation of hat and fashion image were analyzed. The study was performed by the context analysis method and the image evaluation method. In the context analysis method, the 1,391 pictures for hat-styles which were believed to be the standard of fashion style from the S/S season of 1998 to the F/W season of 2004 were analyzed. The research is summarized as follows. Based on the result of the fashion collections, the kinds of hats came Bowler, Beret, Cloche, Capeline, Cap and Hood in order, and Casual, Feminine, Natural, Formal, Romantic, and Mannish came in order for the case of the fashion images for putting on a hat. The result of the analysis on the characteristic of fashion design according to the kinds of hats, the casual image, with highest frequency, was found from all of the kinds except Capeline. Bowler and Cloche were conspicuous in jackets/slacks, Capeline was conspicuous in one-piece shape, and cloth silhouette showed the highest frequency in H type. As for Bowler, the color of cloth and hat was mostly black, and as for Beret and Cloche, achromatic color showed the highest frequency. But as for Capeline, the cloth color, including chromatic color, was various. As for Beret, pattern and material image were various comparatively, but as for other kinds of hats, there were the materials with no pattern and with hard material image.

• Journal of the Korean Society of Clothing and Textiles
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• v.30 no.8
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• pp.1275-1287
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• 2006

This was to confirm the Web-SFAS and street Fashion trend 2005. Korea women's street fashion in 2005 S/S was analyzed by using the Web-SFAS(Street Fashion Analysis System) that was developed and completed in the earlier research. Total 270 women who were sensitive to the fashion were surveyed around in 5 nationwide cities and 9 commercial zones. The analysis results of the questionnaire and image survey in 2005 S/S for each commercial zone is shown as follows: 1. The sequence of care with most interest in producing fashionable shape is in the order of clothes>accessory>hair style>make up>shoes, and it was found that the proper reason for visiting the commercial zone is to meet with friends than shopping. 2. Most preferred item for tops were shirts and T-shirts, while for bottoms were blue jeans of denim material in various colors and designs. The color had the clear winner in white color with the pink or yellow line of colors preferred in all commercial zones. The blue jeans and skirt items were the most dominant with the preference on the blue color. The color and image were diversely favored with light, natural, modern, elegance and warm images. 3. The semi-formal image was preferred in women's street fashion, 2005 S/S in Apgujeong-dong, Hapseong-dong, Myeong-dong, Hongik University area, Dongseong-ro, and the active comfort casual image was preferred by womens in Seo-myeon, Nampo-dong and Sangnam-dong. However the retro image were represented in Daehak-ro specially. The tendency of street fashion for women had the difference of their own trends for each commercial zone, rather then the regional differences for each city with the conspicuous preference of color for the items.