• 한국의류산업학회지
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• 제10권3호
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• pp.322-328
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• 2008

This study examined Korean college women's perceptions of their body image, ideal body, and body satisfaction. Five research questions assessed participants: 1) self-defined image, 2) ideal body image, 3) body dissatisfaction, 4) body satisfaction, and 5) perceptions of their friends' weight concerns. A convenience sample of 101 female college students participated in the study. Respondents' average age is 20.78, ranging from 18 to 36 years. Two approaches were used to define Korean college women's body image and body satisfaction: A scale of illustration showing nine females' body drawing, and a verbal scale for the satisfaction with body image. The findings revealed that Korean college women pursue "thinness." Although they were somewhat happy with their height, the development of their figure, and their overall good looks, they were significantly dissatisfied with their weight. These results indicate that Korean college women would benefit from positive body image education.

• 한국컴퓨터정보학회논문지
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• 제21권11호
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• pp.23-30
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• 2016

In this paper, we propose an adaptive histogram projection technique for dynamic range compression and an efficient detail enhancement method which is enhancing strong edge while reducing noise. First, The high dynamic range image is divided into low-pass component and high-pass component by applying 'guided image filtering'. After applying 'guided filter' to high dynamic range image, second, the low-pass component of the image is compressed into 8-bit with the adaptive histogram projection technique which is using global standard deviation value of whole image. Third, the high-pass component of the image adaptively reduces noise and intensifies the strong edges using standard deviation value in local path of the guided filter. Lastly, the monitor display image is summed up with the compressed low-pass component and the edge-intensified high-pass component. At the end of this paper, the experimental result show that the suggested technique can be applied properly to the IR images of various scenes.

• 반도체디스플레이기술학회지
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• 제18권2호
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• pp.63-66
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• 2019

Due to the development of medical imaging technology, different imaging technologies provide a large amount of effective information. However, different imaging method caused the limitations of information integrity by using single type of image. Combining different image together so that doctor can obtain the information from medical image comprehensively. Image registration algorithm based on mutual information has become one of the hotspots in the field of image registration with its high registration accuracy and wide applicability. Because the information theory-based registration technology is not dependent on the gray value difference of the image, and it is very suitable for multimodal medical image registration. However, the method based on mutual information has a robustness problem. The essential reason is that the mutual information itself is not have enough information between the pixel pairs, so that the mutual information is unstable during the registration process. A large number of local extreme values are generated, which finally cause mismatch. In order to overcome the shortages of mutual information registration method, this paper proposes a registration method combined with image spatial structure information and mutual information.

• Spatial Information Research
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• 제19권6호
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• pp.43-54
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• 2011

본 연구는 위성영상 자료(2000-2009)를 이용하여 성남-용인 인근지역의 지표변화를 시계열 분석하기 위해 규칙기반 영상분류 방법을 제안하였다. 도시지역의 연도별 변화 패턴을 파악하기 위해 통계적/수학적 기반의 규칙에 따라 11개 클래스로 구분하였다. 훈련지역을 설정하지 않는 무감독분류 방법으로서 규칙을 적용할 수 있도록 알고리즘을 일반화 하였다. 분석 결과, 택지개발 등에 의하여 연구범위 내 도시지역면적이 약 1.45배 증가하였으며, 2009년 영상의 분류정확도는 98%로 나타났다. 방법 검증을 위하여 선분류 후비교법을 이용한 토지피복 변화분석 결과와 비교하였다. 다중영상 내 가용한 데이터를 최대한 이용할 수 있었고, 목적에 최적화된 분류가 가능해져, 분류정확도의 향상을 기대할 수 있었다. 본 규칙기반 영상분류 방법은 향후 도시개발 주제도 제작 및 도시개발, 환경변화 모니터링 등 영상 시계열 분석에 다양하게 적용될 수 있을 것이다.

• 한국군사과학기술학회지
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• 제25권4호
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• pp.372-380
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• 2022

This study proposes a distributed parallel processing system, called the Fast Analysis System for remote sensing daTa(FAST), for large-scale satellite image processing and analysis. FAST is a system that designs jobs in vertices and sequences, and distributes and processes them simultaneously. FAST manages data based on the Hadoop Distributed File System, controls entire jobs based on Apache Spark, and performs tasks in parallel in multiple slave nodes based on a docker container design. FAST enables the high-performance processing of progressively accumulated large-volume satellite images. Because the unit task is performed based on Docker, it is possible to reuse existing source codes for designing and implementing unit tasks. Additionally, the system is robust against software/hardware faults. To prove the capability of the proposed system, we performed an experiment to generate the original satellite images as ortho-images, which is a pre-processing step for all image analyses. In the experiment, when FAST was configured with eight slave nodes, it was found that the processing of a satellite image took less than 30 sec. Through these results, we proved the suitability and practical applicability of the FAST design.

• 대한치과의사협회지
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• 제38권3호통권370호
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• pp.260-279
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• 2000

• 대한치과의사협회지
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• 제38권4호통권371호
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• pp.357-368
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• 2000

• 한국소성가공학회:학술대회논문집
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• 한국소성가공학회 2007년도 춘계학술대회 논문집
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• pp.51-54
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• 2007

The purpose of this paper is the development of measurement algorithm for green-sheet based on the digital image processing technique. The Low Temperature Cofired Ceramic (LTCC) technology can be defined as a way to produce multilayer circuits with the help of single tapes, which are used to apply conductive, dielectric and / or resistive pastes on. These single green-sheets have to be laminated together and fired in one step all. Main functionality of the green-sheet film measurement algorithm is to measure the position and size of the punching hole in each single layer. The line scan camera coupled with motorized X-Y stage is used for developing the algorithm. In order to measure the entire film area using several scanning steps, the overlapping method is used. In the process of development of the algorithm based on the image processing and analysis, strong background technology and know-how have been accumulated.

• 한국멀티미디어학회논문지
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• 제9권12호
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• pp.1580-1587
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• 2006

The term molecular imaging can be broadly defined as the in vivo characterization and measurement of biologic processes at the cellular and molecular level. Optical imaging that has highly reproducibility and repetition used in molecular imaging research. In the bioluminescence imaging, animals carrying the luciferase gene are imaged with a cooled CCD(Charge-Coupled Device) camera to pick up the small number of photons transmitted through tissues. Molecular imaging analysis will allow us to observe the incipience and progression of the disease. But hardware device for molecular imaging and software for molecular image analysis were dependent on imports. In this paper, we suggest image processing methods and designed software for bioluminescence signal analysis. And we demonstrated high correlation(r=0.99) between our software's photon counts and commercial software's photon counts. ROI function and processing functions were accomplished without error. This study have the importance of the development software for bioluminescence image processing and analysis. And this study built the foundations for creative development of analysis methods. We expected this study lead the development of image technology.

• 한국의류학회지
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• 제39권2호
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• pp.307-322
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• 2015

This study develops textile designs and cultural fashion products with the image of 'Youngguchunhwa', which means the beautiful spring flowers of Jeju. Historical literature was reviewed to emphasize the authenticity of Halla Mountain and Youngguchunhwa. Consumers' responses to Halla Mountain, Baengnokdam, and Royal Azalea related to Youngguchunhwa were evaluated along with photos of Halla Mountain and Youngguchunhwa images upload on Internet during the last 2 years. The results of consumer survey and photo analysis confirmed the consumers' high preference and high association with the image of Jeju. The full-blown Royal Azaleas in the Seonjakjiwat field of Halla Mountain were used as motifs for the development of Jeju cultural products as a representative landscape showing the beautiful spring of Jeju. Six types of textile designs were developed by the repeated arrangement of the basic patterns of Halla Mountain, Baengnokdam, and Royal Azalea. Ladies' apparels products, children's wear, bags and cushions were made using oxford cotton fabrics printed with the textile designs. We suggest how pattern designs of the Youngguchunhwa image could be applicable and used for the development of other kinds of Jeju tourism souvenirs.