• Journal of Fashion Business
• /
• v.25 no.6
• /
• pp.131-145
• /
• 2021

As the use of cultural elements to enhance design has become increasingly emphasized, fashion studies are focusing more on the cultural aspects of design. However, the diverse approaches of Minhwa (Korean folk painting) still need to be incorporated into fashion designs. Moreover, there is limited research on the awareness and thought of using a cultural design source of Minhwa based on people from different cultural backgrounds. This study aims to reveal an in-depth understanding of the use of Minhwa and its inner symbolic meaning by people from a diverse range of cultural backgrounds. A review of the literature on cultural design and Minhwa studies was conducted to establish a theoretical foundation. Focus group interviews were conducted with 26 participants, who were divided into five distinct cultural groups to ascertain their thoughts towards Minhwa and its inner symbolic meaning. The study's major findings were threefold. First, the outer appearance of Minhwa elements based on aesthetic preferences and familiarity affect their preference choices more than the influences of their cultural backgrounds. Second, knowing the knowledge of symbolic meaning makes a big difference in image preference. Third, avoiding the use of anachronisms is a significant consideration, as they can lead to negative judgments irrespective of cultural background.

• Journal of Radiation Protection and Research
• /
• v.46 no.4
• /
• pp.160-169
• /
• 2021

Background: Dual-energy X-ray images (DEI) can distinguish or improve materials of interest in a two-dimensional radiographic image, by combining two images obtained from separate low and high energies. The concepts of DEI performance describing the performance of double-exposure DEI systems in the Fourier domain been previously introduced, however, the performance of double-exposure DEI itself in terms of various parameters, has not been reported. Materials and Methods: To investigate the DEI performance, signal-difference-to-noise ratio, modulation transfer function, noise power spectrum, and noise equivalent quanta were used. Low- and high-energy were 60 and 130 kVp with 0.01-0.09 mGy, respectively. The energy-separation filter material and its thicknesses were tin (Sn) and 0.0-1.0 mm, respectively. Noise-reduction (NR) filtering used the Gaussian-filter NR, median-filter NR, and anti-correlated NR. Results and Discussion: DEI performance was affected by Sn-filter thickness, weighting factor, and dose allocation. All NR filtering successfully reduced noise, when compared with the dual-energy (DE) images without any NR filtering. Conclusion: The results indicated the significance of investigating, and evaluating suitable DEI performance, for DE images in chest radiography applications. Additionally, all the NR filtering methods were effective at reducing noise in the resultant DE images.

• Journal of the Korea Fashion and Costume Design Association
• /
• v.24 no.1
• /
• pp.83-98
• /
• 2022

This study identified the characteristics of the subculture aspects that led to the success of luxury brands and analyzed the implications of those aspects. For this, semantic analysis in a socio-cultural context was performed. Additionally, this study took the theoretical background, the change in subculture and post-subculture, the digital youth generation, and the change in the meaning of subculture style into consideration. The subculture style aspect and its meaning in luxury fashion brands were analyzed as follows: First, there are challenges that betray the legitimacy or values of luxury brands. Through this, the brand gained recognition and increased sales, and the designer gained a reputation as an innovative creative director. It can be seen that more successful branding was promoted by securing a more subcultured fandom. Second, by combining subculture image fragments, these brands cater to the diverse tastes of a myriad of subcultures. This maximizes commercial profits. Third, most promotional marketing activities are collaborative and done digitally, which allows for a wider customer base, but the difference is in digital capabilities. Limited editions or application use on social networks can act as another driver. It is said that the distinction in high-priced luxury brands is not only driven by economic power but also by sub-cultural capital and digital ability.

• Journal of the Institute of Electronics Engineers of Korea SP
• /
• v.46 no.2
• /
• pp.40-47
• /
• 2009

This paper proposes a method for vehicle license plate detection using mathematical morphology and symmetry. In general, the shape, color, size, and position of license plate are regulated by authorities for a better recognition by human. Among them, the relatively big intensity difference between the letter and the background region of the license plate and the symmetry about the plate are major discriminating factors for the detection. For the first, the opened image is subtracted from the closed image to intensify the region of plate using the rectangular structuring element which has the width of the distance between two characters. Second the subtraction image is average filtered with the mask size of the plate. Third, the column maximum graph of the average filtered image is acquired and the symmetry of the graph is measured at every position. Fourth, the peaks of the average filtered image are searched. Finally, the plate is assumed to be positioned around the one of local maxima nearest to the point of the highest symmetry. About 1,000 images taken by speed regulation camera are used for the experiment. The experimental result shows that the plate detection rate is about 93%.

• Health Policy and Management
• /
• v.28 no.1
• /
• pp.3-14
• /
• 2018

Background: Both objective body shape and perceived body image have been known to influence the mental health. The purpose of this study was to explore the relationship of a combination between actual body mass index (BMI) status and perceived body image with anxiety depressive condition (ADC) in Korean men and women. Methods: This cross-sectional study analyzed data of 26,239 subjects ${\geq}20$ years old from the National Health and Nutrition Examination Survey (2010-2014). This study performed a Rao-Scott chi-square and multivariate logistic regression analyses reflecting survey characteristics and used a variety of independent variables such as socio-demographics and health behavior factors. Results: With all independent variables considered, people with normal weight who perceived themselves as overweight were more likely associated with ADC than a referent group with normal weight who perceived themselves as normal weight, as shown for both men (odds ratio [OR], 1.52; confidence interval [CI], 1.07-2.15) and women (OR, 1.25; CI, 1.06-1.48). Meanwhile, compared to the referent group, men with underweight who perceived themselves as underweight showed a lower association with ADC (OR, 0.63; CI, 0.41-0.97), whereas women with underweight who perceived themselves as underweight showed its higher association (OR, 1.47; CI, 1.10-1.96). Conclusion: A certain group of people categorized as a combination between actual BMI status and perceived body image showed a relatively high likelihood of having ADC, and the gender difference in the likelihood of having the condition for a group was clear. Therefore, this study suggests the need to identify the group at a high risk of ADC on the basis of actual BMI status and perceived body image and to develop an appropriate mental health management program for the group.

• Journal of the Korea Institute of Information and Communication Engineering
• /
• v.19 no.4
• /
• pp.948-953
• /
• 2015

Recently, the finger vein recognition based on NIR and CCD sensor camera is investigating the technology to identify a personal using by biometrics. The performance difference of finger vein recognition is generated according to methods that are to separate the vein and background from noises such as finger thickness, ambient light, skin temperature, etc. To improve these problems, in this study, we are proposing the methods for rotation, ROI extraction, and enhancement of vein image captured by NIR LED and CCD camera, and were evaluated performances of these methods. In results of the experiment, the accuracy of the proposed method for image rotation and ROI extraction was 99.8%. And the proposed filter bank method in vein enhancement has shown better performance than retinex algorithm. The proposed method for results of these experimentations will provide better recognition rate when applied to the preprocessing of finger vein recognition.

• Journal of the Institute of Electronics and Information Engineers
• /
• v.50 no.10
• /
• pp.162-170
• /
• 2013

In recent years, the interests and needs of the Pedestrian Protection System (PPS), which is mounted on the vehicle for the purpose of traffic safety improvement is increasing. In this paper, we propose a pedestrian candidate window extraction and unit cell histogram based HOG descriptor calculation methods. At pedestrian detection candidate windows extraction stage, the bright ratio of pedestrian and its circumference region, vertical edge projection, edge factor, and PCA reconstruction image are used. Dalal's HOG requires pixel based histogram calculation by Gaussian weights and trilinear interpolation on overlapping blocks, But our method performs Gaussian down-weight and computes histogram on a per-cell basis, and then the histogram is combined with the adjacent cell, so our method can be calculated faster than Dalal's method. Our PCA reconstruction error based pedestrian detection candidate window extraction method efficiently classifies background based on the difference between pedestrian's head and shoulder area. The proposed method improves detection speed compared to the conventional HOG just using image without any prior information from camera calibration or depth map obtained from stereo cameras.

• Journal of the Institute of Electronics Engineers of Korea SP
• /
• v.46 no.6
• /
• pp.132-145
• /
• 2009

We present the framework for JND based Illumination and Color Restoration Using Edge-preserving filter for restoring distorted images taken under the arbitrary lighting conditions. The proposed method is effective for appropriate illumination compensation, vivid color restoration, artifacts suppression, automatic parameter estimation, and low computation cost for HW implementation. We show the efficiency of the mean shift filter and sigma filter for illumination compensation with small spread parameter while considering the processing time and removing the artifacts such as HALO and noise amplification. The suggested CRF (color restoration filter) can restore the natural color and correct color distortion artifact more perceptually compared with current solutions. For the automatic processing, the image statistics analysis finds suitable parameter using JND and all constants are pre-defined. We also introduce the ROI-based parameter estimation dealing with small shadow area against spacious well-exposed background in an image for the touch-screen camera. The object evaluation is performed by CMC, CIEde2000, PSNR, SSIM, and 3D CIELAB gamut with state-of-the-art research and existing commercial solutions.

• Journal of Digital Convergence
• /
• v.16 no.7
• /
• pp.381-391
• /
• 2018

The purpose of this research is to propose a new method of PSD(Platform Screen Door) ads using animated image for efficiency, based on the theoretical background that moving objects have a stronger visual attractiveness effect than static objects. For this, we analyze the relationship between the screen door and the train, then derive the positional and visual elements which help to create efficient animated images. Based on this analysis, we made an example and applied into 3D program to confirm the implementation process of the animated PSD ads. As the result, the research shows that it is possible to produce a new type of PSD ads that can show dynamic visual effects and can give diversity to the PSD advertising media through the combination of the images using time difference.

• The Journal of Korean Institute of Communications and Information Sciences
• /
• v.28 no.10C
• /
• pp.1013-1022
• /
• 2003

This paper implemented the real-time object tracking algorithm that extracts and tracks the moving object adaptively to input frame sequence by using non-parametric image processing method and Kalman filter-based dynamic AR(2) process method. By applying non-parametric image processing to input frames, the moving object was extracted from the background adaptively to diverse environmental conditions. And the movement of object was able to be adaptively estimated and tracked by modeling the various movement of object as dynamic AR(2) process and estimating based on the Kalman filter the parameters of AR(2) process dynamically changing along time. The experiments of the implemented object tracking system showed that the proposed method tracked the moving object as more approximately as the estimation error became about l/2.5∼1/50 of one of the traditional tracking method based on linear Kalman filter.