• 한국정보통신학회논문지
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• 제21권4호
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• pp.759-766
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• 2017

제안 논문에서는 의료영상의 다양한 공격에 안전하고 견고하도록 의료 영상을 일정기간 압축 저장해 디지털 콘텐츠에 투명성을 유지한다. 제안논문은 오리지널 영상의 특징 값을 추출하고 사용자의 정보와 결합해서 암호화된 영상 인증코드를 생성한다. 인증코드는 은닉된 데이터를 추출하기 위해 먼저 암호화된 의료영상을 복호화하고 영상의 공간 특성을 이용해 은닉데이터를 추출한다. 따라서 워터마킹을 통해 콘텐츠 자체에 직접 삽입 후 영상의 인증을 위해 추출된 인증코드와 새로 생성된 인증코드의 비교를 수행해 무결성을 보장하고 영상자료의 다양한 공격 안전함을 증명하고 인증률도 98.4%로 향상됨을 증명하였다.

• 한국멀티미디어학회논문지
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• 제13권6호
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• pp.833-840
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• 2010

In this paper a method for detecting and extracting the face from the image in YCbCr spaceis proposed. The face region is obtained from the complex original image by using the difference method and the face color information is taken from the reduced face region throughthe Ellipse clustering method. The experimental results showed that the proposed method can efficiently detect and extract the face from the original image under the general light intensity except for low luminance.

• 유통과학연구
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• 제15권3호
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• pp.49-60
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• 2017

Purpose - The aims of this study are follows. We investigated to find out how country image and brand image affect the consumer perceived value, consumer attitude, and purchase intention of foreign infant foods in China. Especially, we focused on investigate for the moderating role of consumer knowledge between national image, brand image and consumer perceived value of foreign infant foods in China. Research design, data, and methodology - This study analyzed the effect of national image and brand image on purchase intention through consumer perceived value and consumer attitude. This study collected data for empirical analysis of Chinese consumers who have been purchase experience infant foods in China. 256 copies of questionnaire data were used for substantial analysis. Before testing the hypothesis, factor analysis was conducted to test the construct validity of measurement items. Hypotheses about effects between variables were verified using structural equation modeling analysis and hierarchical regression analysis. Results - First, the country image had a positive effect on consumer perceived value of foreign infant foods. Second, the brand image had a positive effect on consumer perceived value of foreign infant foods. Third, the consumer perceived value had a positive effect on consumer attitude. Fourth, the consumer attitude had a positive effect on purchase intention. Fifth, the consumer knowledge was moderating roles between brand image and consumer perceived value of foreign infant foods. However, the consumer knowledge did not effect of moderating between country image and perceived value of consumers. Conclusions - First, the impact of country image and brand image on consumer perceived value of foreign infant foods in China can be seen as a universal psychology of consumers who trust pure foreign products such as high quality, technology, etc. Second, consumer perceived value of foreign infant foods has a positive effect on consumer attitude, and this attitude is leading to purchase intention. Third, the consumer knowledge between brand image and perceived value acts as a moderating variable. It means that the consumer's knowledge can shape the perception of the brand image more strongly.

• 한국농공학회논문집
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• 제64권3호
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• pp.63-73
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• 2022

A more accurate understanding of the irrigation water supply is necessary for efficient agricultural water management. Although we measure water levels in an irrigation canal using ultrasonic water level gauges, some errors occur due to malfunctions or the surrounding environment. This study aims to apply CNN (Convolutional Neural Network) Deep-learning-based image classification and segmentation models to the irrigation canal's CCTV (Closed-Circuit Television) images. The CCTV images were acquired from the irrigation canal of the agricultural reservoir in Cheorwon-gun, Gangwon-do. We used the ResNet-50 model for the image classification model and the U-Net model for the image segmentation model. Using the Natural Breaks algorithm, we divided water level data into 2, 4, and 8 groups for image classification models. The classification models of 2, 4, and 8 groups showed the accuracy of 1.000, 0.987, and 0.634, respectively. The image segmentation model showed a Dice score of 0.998 and predicted water levels showed R² of 0.97 and MAE (Mean Absolute Error) of 0.02 m. The image classification models can be applied to the automatic gate-controller at four divisions of water levels. Also, the image segmentation model results can be applied to the alternative measurement for ultrasonic water gauges. We expect that the results of this study can provide a more scientific and efficient approach for agricultural water management.

• Communications for Statistical Applications and Methods
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• 제9권2호
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• pp.355-366
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• 2002

The web is one of the most plentiful sources of images. The web has an immediate need for image processing technology in Java. This paper provides a practical introduction to statistical image processing using Java on the web. The paper describes how images are represented in Java and deals with four image processing operations based on basic statistical methods: point processing, spatial filtering, edge detection and image segmentation.

• 한국의상디자인학회지
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• 제18권4호
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• pp.31-46
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• 2016

This study would inquire into the fashion image and design characteristics of Peng Liyuan, the first lady of China that has a mighty influence on the recent global economy and consumption. For this purpose, first, this study investigated the fashion image of Peng Liyuan according to the role which she performs as a first lady and analyzed how the fashion image appears and changes by year and role type. Second, this study analyzed the design characteristics of Peng Liyuan's fashion image, focusing on the silhouette, fashion items, coordinated items, colors, and textile patterns. The scope of the research was limited to the dresses worn by Peng Liyuan from March 14, 2013 to September 30, 2015. The fashion image of Peng Liyuan changed from classic and elegant image to modern image till 2015, and she reduced ethnic image and emphasized romantic image. In international diplomatic visits, she tried to express the confidence and potential of China through classic, ethnic and modern image, while in formal events of China, she showed an intention to communicate with the Chinese public with soft intimacy through elegant and ethnic images. As design characteristics in her fashion image, she flexibly changed her fashion image by the composition of silhouettes and items, which could cover her mid-life body type and made use of the form and detail of Chinese traditional qipao, appropriate coordination of scarves and brooches, the combination of chromatic color and achromatic color, appropriate uses of textile patterns and the delivery of China's image according to place and purpose. The study of Peng Liyuan's fashion image has significance to understand the fashion trend as a role model of fashion for the Chinese people and can help the domestic fashion industry that aims at the Chinese market in the future by predicting Chinese women' Fashion trend.

• 한국디자인학회:학술대회논문집
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• 한국디자인학회 2004년도 춘계 학술발표대회 논문집
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• pp.182-183
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• 2004

• 한국멀티미디어학회논문지
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• 제15권3호
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• pp.312-322
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• 2012

The paper presents an approach for recognizing the broken area of the traffic signs. The method is based on the Recognition System for Traffic Signs (RSTS). This paper describes an approach to using the location histogram matching for the broken traffic signs recognition, after the general process of the image detection and image categorization. The recognition proceeds by using the SIFT matching to adjust the acquired image to a standard position, then the histogram bin will be compared preprocessed image with reference image, and finally output the location and percents value of the broken area. And between the processing, some preprocessing like the blurring is added in the paper to improve the performance. And after the reorganization, the program can operate with the GPS for traffic signs maintenance. Experimental results verified that our scheme have a relatively high recognition rate and a good performance in general situation.

• 한국멀티미디어학회논문지
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• 제24권2호
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• pp.178-185
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• 2021

Three-dimensional high-resolution magnetic resonance imaging (MRI) provides fine-level anatomical information for disease diagnosis. However, there is a limitation in obtaining high resolution due to the long scan time for wide spatial coverage. Therefore, in order to obtain a clear high-resolution(HR) image in a wide spatial coverage, a super-resolution technology that converts a low-resolution(LR) MRI image into a high-resolution is required. In this paper, we propose a super-resolution technique through filter learning based on information on the surrounding gradient information in 3D space from 3D MRI images. In the learning step, the gradient features of each voxel are computed through eigen-decomposition from 3D patch. Based on these features, we get the learned filters that minimize the difference of intensity between pairs of LR and HR images for similar features. In test step, the gradient feature of the patch is obtained for each voxel, and the filter is applied by selecting a filter corresponding to the feature closest to it. As a result of learning 100 T1 brain MRI images of HCP which is publicly opened, we showed that the performance improved by up to about 11% compared to the traditional interpolation method.

• 유통과학연구
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• 제17권10호
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• pp.49-59
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• 2019

Purpose - This study aims to verify the effect of sports sponsorship recognition on corporate image and the relationship between image and identification, corporate image and purchasing intention, brand identification and purchasing intention Research design, data, and methodology - To carry out the purpose of this study, a set of data was collected from 320 surveys and 305 of them were used. Statistic programs, SPSS 18.0 and AMOS 20.0, were used to analyze the data. Results - It was found that emotional sports sponsorship recognition and social sponsorship sports sponsorship recognition had positive effects on corporate image and brand identification. Corporate image also had a positive effect on brand identification. Besides, it was analyzed that corporate image and brand identification had positive effects on purchasing intention. Conclusions - The results show that sports sponsorship recognition can influence brand identification and purchasing intention, and contribute to the enhancement of corporate image. Since brand personality that matches the self-image of the targeted customer will have a more positive effect on the relationship with the consumer, marketing activities should be carried out so that the brand image can be identified with the company image of sports sponsorship activities.