• Journal of the Korea Computer Graphics Society
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• v.24 no.3
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• pp.43-48
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• 2018

In this paper, we present a method for removing shadows from scanned documents. Compared to the existing methods such as one based on image pyramid representation or adaptive thresholding, our method produces more robust and higher quality results. The basic idea of the approach is to use the local image statistics and to separate interesting regions from the image such as the regions around letters and figures. For the separated regions, we adaptively adjust the local brightness and contrast, and apply the sigmoid function to the intensity values as well to enhance the clarity of the image. For separated the other empty regions, we apply the gradient-base image hole filling method to fill the region with smooth color change.

• Proceedings of the KSRS Conference
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• 2005.10a
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• pp.763-765
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• 2005

In the area of remote sensing, an immense number of images are continuously generated by various remote sensing systems. These images must then be managed by a database system efficient storage and retrieval. There are many types of image database systems, among which the content-based image retrieval (CBIR) system is the most advanced. CBIR utilizes the metadata of images including the feature data for indexing and searching images. Therefore, the performance of image retrieval is significantly affected by the storage method of the image metadata. There are many features of images such as color, texture, and shape. We mainly consider the shape feature because shape can be identified in any remote sensing while color does not always necessarily appear in some remote sensing. In this paper, we propose a metadata representation and storage method for image search based on shape features. First, we extend MPEG-7 to describe the shape features which are not defined in the MPEG-7 standard. Second, we design a storage schema for storing images and their metadata in a relational database system. Then, we propose an efficient storage method for managing the shape feature data using a Wavelet technique. Finally, we provide the performance results of our proposed storage method.

• Asia pacific journal of information systems
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• v.26 no.2
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• pp.247-262
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• 2016

Almost all Koreans recognize the Dolhareubang as a representative symbol of Jeju. However, as the development of online technology progressed, the image and perception of the Dolhareubang is also expected to change. Thus, this study explored the perceived images of Dolhareubang by focusing on residents in Seoul, Korea using Q methodology. The goal of this research was to evaluate this iconic representation of Jeju as an important component of the island's online tourism destination image. The Q-set was developed from existing literature and defined conceptually in terms of 'value', 'resource', 'story', and 'image'. Thirty five respondents were recruited as P set. Findings indicated four distinctive clusters that perceived the Dolhareubang differently and differences in perceptions were observed in terms of age. The examination of destination image and the exploration of the perceptions of Dolharuebang as a representative of Jeju could contribute to online destination image management or development, which is a crucial component of smart tourism.

• Journal of Korea Multimedia Society
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• v.23 no.8
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• pp.965-976
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• 2020

We present in this work a segmentation method of E. coli bacterial images generated via phase contrast microscopy using a deep learning based hybrid feature generation. Unlike conventional machine learning methods that use the hand-crafted features, we adopt the denoising autoencoder in order to generate a precise and accurate representation of the pixels. We first construct a hybrid vector that combines original image, difference of Gaussians and image gradients. The created hybrid features are then given to a deep autoencoder that learns the pixels' internal dependencies and the cells' shape and boundary information. The latent representations learned by the autoencoder are used as the inputs of a softmax classification layer and the direct outputs from the classifier represent the coarse segmentation mask. Finally, the classifier's outputs are used as prior information for a graph partitioning based fine segmentation. We demonstrate that the proposed hybrid vector representation manages to preserve the global shape and boundary information of the cells, allowing to retrieve the majority of the cellular patterns without the need of any post-processing.

• Journal of Advanced Navigation Technology
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• v.11 no.1
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• pp.99-104
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• 2007

On-line avatar community service requires natural representation of communication, emotional expression, and popular dances and various kinds of services. The space should be dynamic, and the interaction between the motions of avatars and the space is required. The avatars with their national, interesting, and various motions should be implemented togetherwith interaction with virtual spaces, in order to have competition in developing 3D avatars. It is expected for 3D avatars to be broadly applied for 3D shopping malls for e-commerce, cyber model houses, 3 D simulations, and 3D virtual reality game. Therefore, for one line 3D avatar community services, we try to provide the scheme for making interactive virtual spaces, together with 3D avatar animations.

• Journal of the Korean Graphic Arts Communication Society
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• v.25 no.1
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• pp.11-26
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• 2007

In this paper, an experiment was done where the input device used the linear multiple regression and the sRGB color space to perform a color transformation. The output device used the GOG, GOGO and sRGB for the color transformation. After the input device underwent a color transformation, a $3\;{\times}\;20\;size$ matrix was used in a linear multiple regression and the scanner's color representation of scanner was better than a digital still camera's color representation. When using the sRGB color space, the original copy and the output copy had a color difference of 11. Therefore it was more efficient to use the linear multiple regression method than using the sRGB color space. After the input device underwent a color transformation, the additivity of the LCD monitor's R, G and B signal value improved and therefore the error in the linear formula transformation decreased. From this change, the LCD monitor with the GOG model applied to the color transformation became better than LCD monitors with other models applied to the color transformation. Also, the color difference varied more than 11 from the original target in CRT and LCD monitors when a sRGB color transformation was done in restricted conditions.

• Korean Institute of Interior Design Journal
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• v.17 no.6
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• pp.120-127
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• 2008

Korean space design image is a kind of writing as well as one of the sign that dissembles itself as a direct transcript of what it represents. Moreover it is pictorial representation and notions such as mental and perceptual imaginary. Significance of Iconology lies in how we transform image and the imagination that produces it into power of trust and respect. From this point of view, the process of this study is illustrated as follows: At first, this study search out concept of archetype, collective unconsciousness and collective representation that found principles on basic theory for interpretation of korean space icon. Secondly, it mentions theoretical background of iconological contents and structure. And it clarifies Iconology as a method that is applicable logic for Korean space design. Finally, as an analysis of korean space design, this study analyse in three steps that are pre-iconological description, iconological analysis, iconological interpretation each in terms of modernization at regional korean space design. In the step of the pre-iconological description, it describe visual representative style based on era and place. In the step of the iconological analysis, the typical structure is classified in status, vernacular, ethnic, traditional. In the step of the iconological interpretation, connotation is categorized into allegory, multivalence, potential. Through this process, this study suggest that iconology is an appropriate analysis system of Korean space design images that represent symbols combined with our collective emotion.

• Journal of Korea Game Society
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• v.8 no.3
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• pp.69-76
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• 2008

This paper presents a novel rendering algorithm based on sperical coordinate representation of the object. The vertices of the object are transformed into the sperical coordinate system, and we construct additional maps: the centroid and index of the triangle, the memory access table. While OpenGL rendering pipeline touches all vertices of an object, the proposed method takes account of the only visible vertices by examining the visible triangles of the object. Simulation results demonstrated that the proposed method achieve an efficient rendering performace.

• Journal of radiological science and technology
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• v.20 no.1
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• pp.39-42
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• 1997

This study was done at 45 medical facilities located in Seoul. The purpose of study is twofold. First, this is to investigate usually who extmines patients for UGI and how many films are used for the examination. Secondly, this is to evaluate image qualities of UGI in terms of representation of lesser curvatures, amount of Ba and air and other criteria for the exam. The results are as follows : 1. In most cases, the UGI is examined by the Dr(67%), by the RT(22%), and together(11%). 2. The total films used ranged from 5 sheets(42%) to 7 sheets(18%). 3. The amount of Ba given to Pt. was mostly $200{\sim}300\;ml$(60%) and gastrografin was used $3{\sim}4\;g$(86.6%) for the examination. 4. For the evaluation of qualities, lack of representation of lesser curvature was 86.7%, lack of Ba and air and bubble formation was 62%, 46.7% and 42.2% respectively.

• Journal of the Korean Society of Clothing and Textiles
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• v.31 no.7
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• pp.1052-1063
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• 2007

This study focuses on the analysis of body images appearing in the fashion illustrations since the 1990's and thereby attempts to determine relationship between their expressional features and aesthetic values in reference to theory of post-structuralism. Especially among numerous post-structuralist, Michel Foucault, Gilles Deleuze/Felix Guattari, and Julia Kristeva set unique arguments on body, which provide valuable leads to decipher the image of body. For that reason, body images shown in the fashion illustration are categorized into grotesque body, fragmented body, humanoid body, and post-gendered body, and reviewed their characteristics and aesthetic values based on critics of above three scholars. Findings are summarized as follows: First, image of body entails meaning of an resistance of traditional social concepts and order, and second it serves the purpose of creating a new and unique sense. Finally, it is not an object of representation of physical facts, but rather a representation of the real itself, apart from presenting the original material. Given arguments enhance understanding of images of body in fashion illustration in a broader sense.