• Journal of Advanced Navigation Technology
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• v.23 no.5
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• pp.400-407
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• 2019

In this paper, the shadow detection and reconstruction method are proposed using intrinsic image, which does not change the essential characteristics under the influence of various illuminance, and multi-scale gamma correction. The shadow detection was estimated by the pixel change information between a grayscale and an intrinsic image of the color image, and the brightness of the image were adjusted by gamma correction in the shadow restoration process. Multi-scale gamma correction is performed for each channel of a color image due to the fact that the saturation can be changed by nonlinear adjustment to individual pixel values. Multi-scale gamma values are estimated based on the information of the crossed edge between shadows and non-shadowed regions in the color image, as a result, the shadows are reconstructed by correcting different region features with multi-scale gamma values. Experimental results show that the proposed method effectively reconstructs shadows in a single natural image.

• Cross-Cultural Studies
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• v.51
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• pp.103-131
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• 2018

This study examines motivations for international students to study abroad at Korean universities. Employing qualitative and mixed methods, this study used grounded theory to analyse data obtained from student interviews, essays, digital storytelling videos, and student video representations to explicate the nature of study of six subjects. All subjects were enrolled in English Education courses during years 2014-2017. The researcher was the course instructor. Results from this study revealed that major codes that emerged from data analyses were those of economics, culture, language study, and personal development, corroborating with findings of most research literature regarding international students' motivations (OUSO, 2015). However, survey of professional literature and study data showed that motivational codes presented in the literature and this study, were discursive in nature in that each code was not only connected to all other codes, but also mutually co-constructive. As such, this study suggests that motivational codes found in study abroad literature were discursive in nature, resembling Bourdieu's (1991) theory of economic, social, and cultural capitals. Results of this study suggest that various motivations for studying abroad are subsumed under economic logic of expense and career development.

• Trans-
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• v.11
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• pp.1-35
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• 2021

This study looks to explore situations in which the authenticity of reality audition programs is inherently distorted by subjective intervention through a theoretical model of existentialism and case study of how it was practiced in an actual program. In detail, we examine the impact on the essence of human subjective intervention and the behavior by free will and use Sartre's existentialism a theoretical model and a Korean audition program series as the case for the study. We believe that the producers intended to narrow the audiences choices by creating a favorable environments for certain participants (trainees as they were called) to be recognized and liked by the voting audiences. We look to "subjectivity," the first principle of existentialism, people determine their essence through free will, and all actions in the production process are aimed at achieving that goal, which keeps the position balance of final debut group by creating the character image and personality through character making, storytelling and increasing or decrease the assigned air-time of each individuals.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.10 no.5
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• pp.972-978
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• 2009

In order to achieve color constancy, this paper proposes a method that can detect an invariant direction that affects formation of an intrinsic image significantly, using eigenvector in the $\chi$-chromaticity space. Firstly, image is converted into datum in the $\chi$-chromaticity space which was suggested by Finlayson et al. Secondly, it removes datum, like noises, with low probabilities that may affect an invariant direction. Thirdly, so as to detect the invariant direction that is consistent with a principal direction, the eigenvector corresponding to the largest eigenvalue is calculated from datum extracted above. Finally, an intrinsic image is acquired by recovering datum with the detected invariant direction. Test images were used as parts of the image data presented by Barnard et al., and detection performance of invariant direction was compared with that of entropy minimization method. The results of experiment showed that our method detected constant invariant direction since the proposed method had lower standard deviation than the entropy method, and was over three times faster than the compared method in the aspect of detection speed.

• Proceedings of the Korea Information Processing Society Conference
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• 2007.11a
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• pp.90-93
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• 2007

우리나라만의 독창적인 의료체계인 사상체질은 의학적 본질의 우수성에도 불구하고 크게 대중화 되지 않았으며 인지도 또한 높지 못하다. 이는 사상체질에서 가장 중요한 부분이 사상체질의 정확한 분류인데 현재 임상현장에서 행해지고 있는 사상체질 분류 방식은 임상의의 경험과 주관적 소견에 의해 분류되고 있기 때문에 진단 결과에 객관성이 없고 정확도가 낮게 평가되고 있는 실정이다. 이를 위해 사상체질 진단 방법 중 하나인 용모사기론을 IT공학의 영상처리에 적용하여 안면 영상 분석을 통해 사상체질 분류를 수행하고자 한다. 이를 위해 본 논문에서는 사상의학적 원전과 기존의 방법들을 조사, 연구하여 사상체질 분류의 중요한 요소를 결정하고 시스템 구현을 목표로 실험을 통해 사상체질 분류의 유의성을 갖는 측정 요소에 대해 검증해 보고자 한다.

• Archives of design research
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• v.14
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• pp.77-84
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• 1996

The aspirations toward newness and uniqueness, which are represented as the main character of modern society and the motivation of the Art, have made the media for the Art, Design and Image varied and developed. As one of those streams, laser technology has stood out for the visual media of mystery and fantasy in the field of Public Entertainment, Image Exhibition and Art, and also it could be accelerated by the advancement of Electronics and Physics. This study focuses on the image creation by the laser technology, as the great product of the state-of-the-art science, whose physical feature produces visual effect of fantasy. As the first approach, the knowledge on the physical feature and technology of laser and system composition should be preceded in the step of planning and creation of laser image. Through the further understanding on graphic feature of laser image which increases the artistic quality of the image, this study hopefully activates the laser image works by the specialists and the artists in the field, and finally the creation of master-pieces.

• Proceedings of the Korea Water Resources Association Conference
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• 2023.05a
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• pp.120-120
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• 2023

본 연구에서는 CCTV 영상 내 빗줄기의 특성을 바탕으로 강우강도를 산정하기 위한 합성곱 신경망(CNNs, Convolutional Neural Networks) 기반 강우강도 산정 모형을 제안하였다. 중앙대학교 및 한국건설생활환경시험연구원 내 대형기후환경시험실에서 얻은 CCTV 영상들을 대상으로 연구를 수행하고, 우적계 등과 같은 지상 관측자료와 강우강도 산정 결과를 비교·검증하였다. 먼저, CCTV 영상 내 빗줄기의 미세한 변동 특성을 반영하기 위해 데이터 전처리 작업을 진행하였다. 이는 원본 영상으로부터 빗줄기 층을 분리해내는 과정, 빗줄기 층에서 빗물 입자를 분리해내는 과정, 그리고 빗물 입자를 인식하는 과정 등 총 세 단계로 구분된다. 합성곱 신경망 기반 강우강도 산정 모형 구축을 위해 영상 전처리가 완료된 데이터들을 입력값으로 설정하고, 촬영 시점에 대응되는 지상관측 자료를 출력값으로 고려하여 강우강도 산정모형을 훈련시켰다. CCTV 원자료 내 특정 영역에 편향되어 강우강도를 산정하는 과적합 현상의 발생을 방지하기 위해 원자료 내 5개의 관심 영역(ROI, Region of Interest)을 설정하였다. 추가로, CCTV의 해상도를 총 4개(2560×1440, 1920×1080, 1280×720, 720×480)로 구분함으로써 해상도 변화에 따른 학습 결과의 차이를 분석·평가하였다. 이는 기존 사례들과 비교했을 때, CCTV 영상을 기반으로 빗줄기의 거동 특성과 같은 물리적인 현상을 직간접적으로 고려하여 강우강도를 산정했다는 점과 더불어 머신러닝을 적용하여 강우 이미지가 갖는 본질적인 특징들을 파악했다는 측면에서, 추후 본 연구에서 제안한 모형의 활용 가치가 극대화될 수 있을 것으로 판단된다.

• Journal of the Institute of Electronics Engineers of Korea SC
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• v.46 no.6
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• pp.58-64
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• 2009

Digital radiography (DR) images are corrupted by the additive noise, and also distorted by system impulse response. These unwanted phenomena are obstacles to obtain the desired image. To recover the original image, we applied multiscale Wiener filters in wavelet domain for DR images. The multiscale Wiener filter is first proposed by Chen for the restoration of fractal signals which are distorted by the system impulse response and additive noise. In this paper, we extended the multiscale Wiener filter to the two dimensional data. To compare the performance of ours with others, some simulations are given for a couple of wavelet filters with different wavelet levels, system impulse reponses and various noise power. When the addive noise powers are between 20-32 dB, the signal to noise ratio(SNR) of the proposed system is 0.5-2.0 dB better than that of the traditional Wiener filter method.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.23 no.5
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• pp.71-76
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• 2023

In this paper, we propose a fuzzy U-Net, a fuzzy deep learning model that applies fuzzy logic to improve performance in image segmentation using deep learning. Fuzzy modules using fuzzy logic were combined with U-Net, a deep learning model that showed excellent performance in image segmentation, and various types of fuzzy modules were simulated. The fuzzy module of the proposed deep learning model learns intrinsic and complex rules between feature maps of images and corresponding segmentation results. To this end, the superiority of the proposed method was demonstrated by applying it to dental CBCT data. As a result of the simulation, it can be seen that the performance of the ADD-RELU fuzzy module structure of the model using the addition skip connection in the proposed fuzzy U-Net is 0.7928 for the test dataset and the best.

• Journal of Korea Multimedia Society
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• v.1 no.1
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• pp.26-36
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• 1998

It is very important study field in computer vision 'How we obtain 3D information from 2D image'. For this purpose, we must know position of camera, direction of light source, and surface reflectance property before we take the image, which are intrinsic information of the object in the scene. Among them, surface reflectance property presents very important clues. Most previous researches assume that objects have only Lambertian reflectance, but many real world objects have Non-Lambertian reflectance property. In this paper the new method for analyzing the properties of surface reflectance and reconstructing the shape of object through estimation of reflectance parameters is proposed. We have interest in Non-Lambertian reflectance surface that has specular reflection and diffuse reflection which can be explained by Torrance-Sparrow model. Photometric matching method proposed in this paper is robust method because it match reference image and object image considering the neighbor brightness distribution. Also in this thesis, the neural network based shaped reconstruction method is proposed, which can be performed in the absence of reflectance information. When brightness obtained by each light is inputted, neural network is trained by surface normal and can determine the surface shape of object.