• The Journal of Korean Academy of Prosthodontics
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• v.52 no.2
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• pp.121-127
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• 2014

Comprehensive prosthetic treatment requires considerations from various points of view. The anterior guidance is important factor in prosthodontic treatment of anterior teeth. Lingual surface contour of anterior restoration is so critical that a small mistake of laboratory or clinical process can cause discomfort of patient and disharmony of entire dentition. There are no guidelines for lingual surface contour that fit all patients. Therefore the lingual surface of provisional restoration is most accurately described as a customized one. The dentist transfers the exact information of anterior guidance that has made through long term provisional restoration to the technician. This case introduce that the duplication technique of CAD/CAM system to reproduce the anterior guidance of provisional restoration. This method can improve satisfaction of both patient and dentist.

• Journal of Korea Multimedia Society
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• v.13 no.5
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• pp.702-709
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• 2010

The performance of mass segmentation is greatly influenced by an initial position of a mass. Some researchers performed mass segmentation with the initial position of a mass given by radiologists. The purpose of our research is to find the initial position for mass segmentation and to notify the segmented mass to radiologists without any additional information on mammograms. The proposed system consists of breast segmentation by region growing and opening operations, decision of an initial seed with characteristics of masses, and mass segmentation by a level set segmentation. A seed for mass segmentation is set based on mass scoring measure calculated by block-based variances and masked information in a sub-sampled mammogram. We used a DDSM database to evaluate the system. The accuracy of mass detection is 78% sensitivity at 4 FP/image, and it reached 92% if multiple views for masses were considered.

• Journal of Digital Convergence
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• v.14 no.4
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• pp.349-353
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• 2016

The studies on the human environment and ecosystem analysis is being actively researched. In recent years, The service of genome analysis has been offering the customized service to prevent the disease as reading an individual's genome information. The genome information by analyzing technology is being required accurate and fast analyses of ecosystem-dielectrics due to the spread of the disease, the use of genetically modified organism and the influx of exotic. In this paper the algorithm of K-Mean clustering for a new classification system was utilized. It will provide new dielectrics information as quickly and accurately for many biologists.

• Journal of Digital Contents Society
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• v.17 no.5
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• pp.433-439
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• 2016

In this paper, we propose a optimized steganography how to improve the image degradation of the existing data hiding techniques. This method operates in the compressed domain(JPEG) of an image. Most of the current information concealment methods generally change the coefficients to hide information. And several methods have tried to improve the performance of a typical steganography method such as F5 including a matrix encoding. Those papers achieved the object of reducing the distortion which is generated as hiding data in coefficients of compressed domain. In the proposed paper we analyzed the effect of the quantization table for hiding the data in the compressed domain. As a result, it found that can decrease the distortion that occur in the application of steganography techniques. This paper provides a little (Maximum: approximately 6.5%) further improved results in terms of image quality in a data hiding on compressed domain. Developed algorithm help improve the data hiding performance of compressed image other than the JPEG.

• Journal of Digital Contents Society
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• v.19 no.1
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• pp.213-220
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• 2018

Face morphing, one of the most powerful image processing techniques that are often used in image processing and computer graphic fields, as it is a technique to change the image progressively and naturally from the original image to the target image. In this paper, we propose a method to generate Delaunay triangles using the facial landmark vertices generated by the Dlib face landmark detector and to implement morphing through warping and cross dissolving of Delaunay triangles between the original image and the target image. In this paper, we generate vertex points for face not manually but automatically, which is the major feature of the face such as eye, eyebrow, nose, and mouth, and is used to generate Delaunay triangles automatically which is the main characteristic of our face morphing method. Simulations show that we can add vertices manually and get more natural morphing results.

• Proceedings of the Korea Information Processing Society Conference
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• 2002.04a
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• pp.625-628
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• 2002

디지틸워터마킹은 디지털콘텐츠의 저작권보호 솔루션으로서 현재 주로 이미지, 오디오, 비디오, 텍스트 등을 대상으로 연구되고 있다. 컴퓨터 하드웨어, 네트워크, 그리고, 응용 소프트웨어의 빠른 발전과 함께 국가 차원의 초고속 통신망의 인프라 구축에 힘입어, 3차원 폴리곤과 곡선 및 곡면에 대한 디지털워터마킹에 관심이 높아지고 있다. 본 논문에서는 유리 베지에곡선에 대한 디지털워터마킹에 대한 하나의 방법을 제시한다. 기존의 베지에곡선의 차수를 증가시키는 일반적인 방법이 아닌 유리항의 분모와 분자에 공통의 다항식을 곱하여 차수를 증가시킨다. 이때 공통으로 칠하는 다항식의 관들의 복비(cross ratio) 값에 우리가 숨기고자하는 마크를 삽입하고, 추출해내는 방법을 제시한다. 본 논문에서 제시된 알고리듬은 워터마크를 삽입하는 과정에서 곡선의 형태를 전혀 변화시키지 않는 형태 유지성(shape preserving property)을 갖는다. 또한. 본 알고리듬의 다른 중요한 특징은 곡선이 CAD 시스템에 의해 이용되는 과정에서 흔히 일어나는 재매개화 방법 중 뫼비우스 변환을 이용한 재매개화에 저항성이 있는 알고리듬이라는 것이다. 마지막으로 본 연구에서 제시한 방범에 의한 예제의 결과를 보여준다.

• Journal of Digital Convergence
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• v.14 no.12
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• pp.413-421
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• 2016

This research, mainly focused on the development of the iPhone exclusive app 'Sketch Plus', is on the production of pens within the smart media. Our goal is to develop and reproduce pens with surreal rendering as a base and during that process, describe the fusing process of design perspectives and algorithms. This research comprehends the concept of surreal rendering, which is a technique that mimics traditional art forms, and suggests 15 pen techniques and ways to display them by analyzing previous research on smart media. We have described the process of using hatching patterns and resused to solve lag problems that occur during the reproduction of pen techniques due to the limitations of smart devices and organized the conversion process of pen patterns into 4 steps: rough sketch, contrast, applying and mimicking patterns, and applying color. We hope that this research on the reproduction of analog pen techniques can be used as an example for production on fused surreal rendering.

• 한국HCI학회:학술대회논문집
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• 2009.02a
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• pp.1075-1080
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• 2009

이 글은 Music Information Retrieval(MIR) 기법을 사용하여 오디오 콘텐츠의 리듬 정보를 자동으로 분석하고 이를 시각화하는 방법에 대해 다룬다. 특히 MIR을 활용한 간단한 시각화(sound visualization) 어플리케이션을 소개함으로써 음악 정보 분석이 디자인, 시각 예술에서 다양하게 활용될 수 있음을 보이고자 한다. 음악적 정보를 시각 예술로 담아내려는 시도는 20세기 초 아방가르드 화가들에 의해 본격적으로 시작되었다. 80년대 이후에는 컴퓨터 기술의 급속한 발전으로 사운드와 이미지를 디지털 영역에서 쉽게 하나로 다룰 수 있게 되었고, 이에 따라 다양한 오디오 비주얼 예술작품들이 등장하였다. MIR은 오디오 콘텐츠로부터 음악적 정보를 분석하는 DSP(Digital Signal Processing) 기술로 최근 디지털 콘텐츠 시장의 확장과 더불어 연구가 활발히 진행되고 있다. 특히 웹이나 모바일에서는 이미 다양한 상용 어플리케이션이 적용되고 있는데 query-by-humming과 같은 음악 인식 어플리케이션이 대표적인 경우이다. 이 글에서는 onset 검출(onset detection)을 중심으로 음악적 리듬을 분석하는 알고리즘을 살펴보고 기본적인 조형원리에 따라 이를 시각화하는 어플리케이션의 예를 소개한다.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 1998.10a
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• pp.211-221
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• 1998

A digital image processing technique which is able to get the velocity vector distribution of a surface of the spilled oil in the ocean without contacting the flow itself. This technique is based upon the PIV(Particle Imaging Velocimetry) technique and its system mainly consists of a high sensitive camera, a CCD camera, an image grabber, and a host computer in which an image processing algorithm is adopted for velocity vector acquisition. For the acquisition of the advective velocity vector of floating matters on the ocean, a new multi-frame tracking algorithm is proposed, and for the acquisition of the diffusion velocity vector distribution of the spilt oil onto the water surface, a high sensitive gray-level cross-correlation algorithm is proposed.

• Journal of Korea Society of Digital Industry and Information Management
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• v.16 no.1
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• pp.55-65
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• 2020

With the development of display hardware, image interpolation techniques have been used in various fields such as image zooming and medical imaging. Traditional image interpolation methods, such as bi-linear interpolation, bi-cubic interpolation and edge direction-based interpolation, perform interpolation in the spatial domain. Recently, interpolation techniques in the discrete cosine transform or wavelet domain are also proposed. Using these various existing interpolation methods and machine learning, we propose decision tree classification-based image interpolation methods. In other words, this paper is about the method of adaptively applying various existing interpolation methods, not the interpolation method itself. To obtain the decision model, we used Weka's J48 library with the C4.5 decision tree algorithm. The proposed method first constructs attribute set and select classes that means interpolation methods for classification model. And after training, interpolation is performed using different interpolation methods according to attributes characteristics. Simulation results show that the proposed method yields reasonable performance.