• The Journal of the Convergence on Culture Technology
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• v.4 no.4
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• pp.355-360
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• 2018

We propose a method to connect partial image in whole image to partial image in whole image of other internet site. For this study, we have developed four partial image generation methods and retrieval methods. A method of 'image segmentation' that cuts out only partial images that want to provide information from the whole image, a method of 'creating an image block' that finds outermost points of a cut-out partial image, a method of 'Stamp transformation of outer points', which connects outer points and registers them as the most similar image stamp, and a retrieval method that connects image stamps with other image stamps are developed. We suggested a image search UI that can use image stamps in various ways.

• School Mathematics
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• v.14 no.1
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• pp.1-28
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• 2012

The purpose of the study are to identify factors of mathematical visualization through the thirty students of highschool 2nd year and to investigate how each visualization factor is used in mathematics problem solving process. Specially, this study performed the qualitative case study in terms of the five of thirty students to obtain the high grade in visuality assessment. As a result of the analysis, visualization factors were categorized into mental images, external representation, transformation or operation of images, and spacial visualization abilities. Also, external representation, transformation or operation of images, and spacial visualization abilities were subdivided more specifically.

• Proceedings of the Korean Information Science Society Conference
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• 2008.06c
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• pp.462-467
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• 2008

최근 웹 2.0 시대 참여, 공유, 개방 정신이 확대 되고, 다양한 디지털 저작물들이 대량 제작되어 활용되고 있다. 그리고 디지털 저작물의 특징상 누구나 손쉽게 무제한으로 복제와 유통이 가능함으로 디지털 저작물이 양은 기하급수적으로 증가하고 있다. 증가하는 이미지를 효과적으로 관리하고 검색하기 위해 색상, 질감, 모양 등을 이용한 내용기반 이미지 검색에 대한 연구가 활발히 진행되고 있다. 색상을 이용한 이미지 검색방법의 하나로 색상 히스토그램을 이용한 검색 방법이 있다. 그러나 이는 공간적인 상호관계를 적절히 표현하지 못한다는 단점이 있다. 따라서 본 논문에서는 이미지에 나타나는 주요 색상 및 불변 모멘트 값과 이미지의 중앙을 중심으로 한 영역별 유사도 검사를 통한 내용기반 이미지 검색 시스템을 제안한다. 첫 번째 유사성 검사 단계에서는 이미지의 영역별로 가중치를 부여하여 추출한 대표색상 정보를 사용하여, 유사하지 않은 이미지를 제거하여 검색대상의 수를 줄인다. 두 번째 유사성 검사 단계에서는 이미지를 영역으로 나누고, 이미지의 중심 영역부터 영역을 확장하며 영역마다 구축된 인덱스 검색을 통해 영역기반 유사 이미지 검색을 수행 한다. 세 번 단계에서는 이미지의 변형에 불변한 값인 불변 모멘트를 사용하여, 영역별 검사에서 제외된 유사이미지를 재검사한다. 제안한 이미지 검색 방법은 10000개의 다양한 이미지로 구성된 이미지 데이터베이스에서 검색을 실험을 통해 검색의 정확도 및 회수율을 측정하였다.

• The KIPS Transactions:PartA
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• v.16A no.2
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• pp.61-68
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• 2009

We present a fast 3D shape deformation method that achieves smoothly deformed result by approximating a rigid transformation based on moving least squares (MLS). Our modified MLS formulation reduces the computation cost for computing the optimal transformation of each point and still keeps the rigidity of the deformed results. Even complex geometric shapes are easily, intuitively, and interactively deformed by manipulating point and ellipsoidal handles.

• The Journal of the Korea Contents Association
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• v.10 no.7
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• pp.169-178
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• 2010

This paper has conducted a theoretical re-inquiry on Gilles Deleuze' thought about Alfred Hitchcock' film based on the image of thought in relation with the concept and theory about film. So, the purpose of this article is to explore that film can acquire the academic significance as a philosophy including an academic denomination of social science and Arts. According to the findings, Gilles Deleuze appeared that A. Hitchcock used the mental-image which can transform the perception-image, the action-image, and the affection-image in film and make the relation including the way which it is developed between character and event. Also, as the mental-image can change the meaning of film, camera is the essence and mental referent. And the mental-image makes the other images a specific frame, permeates into image and transforms it. This paper sets limits to some problems that Deleuze's thought about film generalizes to filmic theory, but has a importance to inquiry new research as a theoretical introspection for the practical discussion about the relation between film and philosophy.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2017.05a
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• pp.339-342
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• 2017

Geometric transform of an image is used to image correction. Ridid-Body, Simlilary transform, etc, many correction methods are exist in computer vision. Image warping is used to correction for image with perspective. To image warping I extracted 4 feature point about warping position. But It is difficult to extract 4 points accurately and warping result with these point is occurs error over 3 or 4 pixel at warping position. So I used template matching to extract 4 points correctly and selected repeatedly 2 points of 4 points because to confirm result correctly. positions of 2 points are changed in near of 3 by 3 pixel and warped each change. So I selected optimal 4 points with a error of less than 1 pixel and finally, warped image using optimal points. For this way is possible to obtain optimum result.

• Proceedings of the Korea Contents Association Conference
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• 2005.11a
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• pp.181-185
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• 2005

In this paper, the DWT(Discrete Wavelet Transform) based watermarking method for authentication and detection of image modification was proposed. The proposed algorithm inserts watermark into high frequency domain after 1-level wavelet transform by exchanging wavelet coefficients and embeds the characteristic values of high frequency domain of original image into the LSB part of watermarked image. Therefore, By extracting LSB values and watermark in the high frequency domain from the watermarked image, we can authenticate the image and detect modified positions.

• Proceedings of the Korea Contents Association Conference
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• 2005.11a
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• pp.480-484
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• 2005

In this paper, the multiwatermarking method to make it possible to the authentication, modification detection and copyright protection of the digital image was proposed. After the original image is transformed by the DWT(Discrete Wavelet Transform), the encrypted watermark information is embedded into the LSB(Least Significant Bit) of LL band on the low frequence domain for authenticating and detecting modified position in the image. And watermark information is embedded by exchanging the wavelet coefficient for the copyright protection. Thereby, we can authenticate the modification and detect the modified location by extracting the values of LSB on the low frequence domain. And we can perceive the copyright information of original image by extracting the embedded watermark on the high frequence domain.

• The Journal of the Korea Contents Association
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• v.6 no.1
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• pp.170-178
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• 2006

In this paper, the hybrid-watermarking method to make it possible to the authentication, modification detection and copyright protection of the digital image was proposed. After the original image is transformed by the DWT(Discrete Wavelet Transform), the encrypted watermark information is embedded into the LSB(Least Significant Bit) of LL band on the low frequence domain for authenticating and detecting modified position in the image. And watermark information is embedded by exchanging the wavelet coefficient for the copyright protection. Thereby, we can authenticate the modification and detect the modified location by extracting the values of LSB on the low frequence domain. And we can perceive the copyright information of original image by extracting the embedded watermark on the high frequence domain.

• Journal of Korea Society of Industrial Information Systems
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• v.6 no.2
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• pp.16-22
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• 2001

In this paper we mose a new scheme for recognition of deformed letters by extracting feature vectors based on Gibbs distributions which are well suited for representing the spatial continuity. The extracted feature vectors are comprised of 2-D conditional moments which are invariant under translation, rotation, and scale of an image. The Algorithm for pattern recognition of deformed letters contains two parts: the extraction of feature vector and the recognition process. (i) We extract feature vector which consists of an improved 2-D conditional moments on the basis of estimated conditional Gibbs distribution for an image. (ii) In the recognition phase, the minimization of the discrimination cost function for a deformed letters determines the corresponding template pattern. In order to evaluate the performance of the proposed scheme, recognition experiments with a generated document was conducted. on Workstation. Experiment results reveal that the proposed scheme has high recognition rate over 96%.