• Progress in Medical Physics
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• v.15 no.2
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• pp.70-76
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• 2004

The most important work for early detection of liver cancer and decision of its characteristic and location is good segmentation of a liver region from other abdominal organs. This paper proposes a fully automatic liver segmentation algorithm based on the abdominal morphology characteristic as an easy and efficient method. Multi-modal threshold as pre-processing is peformed and a spine is segmented for finding morphological coordinates of an abdomen. Then the liver region is extracted using C-class maximum a posteriori (MAP) decision and morphological filtering. In order to estimate results of the automatic segmented liver region, area error rate (AER) and correlation coefficients of rotational binary region projection matching (RBRPM) are utilized. Experimental results showed automatic liver segmentation obtained by the proposed algorithm provided strong similarity to manual liver segmentation.

• Proceedings of the KIEE Conference
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• 2004.07c
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• pp.1685-1687
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• 2004

초고압 케이블의 절연물질로 널리 사용되고 있는 가교 폴리에틸렌의 전기적 특성은 라멜라 결정 조직의 밀도와 라멜라 조직의 성장방향과 밀접한 관련이 있는 것으로 알려지고 있다. 본 연구에서는 반도전 물질에 계면활성제를 첨가하고, 제조 온도를 제어하여 폴리에틸렌의 미세 조직을 변화시킴으로써, 라멜라 조직이 전기적 특성에 미치는 영향을 분석하였다. 전기적 특성은 절연파괴 전압을 측정하였고, TEM 분석을 통하여 폴리에틸렌의 모폴러지 분석을 하였으며, XRD 분석을 통하여 라멜라 조직의 밀도를 분석하였다.

• Annual Conference of KIPS
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• 2006.05a
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• pp.877-880
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• 2006

기존의 수동적인 차량관리 시스템은 관리자가 정해진 위치에 상시 대기하여 관리를 해주어야 하며 아날로그 녹화 시스템의 화질저하와 저장공간의 부족이라는 단점이 있으므로 생산성이나 관리적으로 크게 비효율적이다. 본 논문에서는 이러한 아날로그적인 방법을 탈피하여 영상처리 기법을 이용해 보안카메라에서 받아온 영상정보를 이용해 차량정보를 파악하고 실시간으로 처리하며 Web이나 PDA등 디지털 이동매체에 접속하여 이동환경에서 활용할 수 있도록 통합 시스템을 구축하는 것을 제안한다.

• Annual Conference of KIPS
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• 2006.05a
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• pp.677-680
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• 2006

기존의 수동적인 차량관리 시스템은 관리자가 정해진 위치에 상시 대기하여 관리를 해주어야 하며 아날로그 녹화 시스템의 화질저하와 저장공간의 부족이라는 단점이 있으므로 생산성이나 관리적으로 크게 비효율적이다. 본 논문에서는 이러한 아날로그적인 방법을 탈피하여 영상처리 기법을 이용해 보안카메라에서 받아온 영상정보를 이용해 차량정보를 파악하고 실시간으로 처리하며 web이나 PDA등 디지털 이동매체에 접속하여 이동환경에서 활용할 수 있도록 통합 시스템을 구축하는 것을 제안한다.

• Annual Conference of KIPS
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• 2004.05a
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• pp.749-752
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• 2004

CT 영상에서 폐암 추출을 위한 컴퓨터지원진단시스템(CAD)에서 전처리 시스템은 매우 중요한 역할을 담당한다. 본 논문에서는 CT 영상에서 폐암 추출을 위한 전처리 기법을 소개한다. CT 영상에서 폐 영역 추출 과정에서 가장 먼저 수행되는 이진화를 위해 k-means 클러스터링 알고리즘을 이용하고, 비관심 영역 제거 방법으로 연결요소를 분석하고, 이진화 과정에서 발생한 폐 외곽 분실을 재구성하기 위해 Rolling Ball 알고리즘을 수행한다. 또한 분할된 폐 영역에서 폐암 후보자를 선출하기 위해 분할과정에서 수행하였던 이진화 방법을 폐 영역에 다시 한번 적용하고 잡음제거를 위해 모폴러지 기법을 사용한 전처리 기법을 제안한다.

• Proceedings of the Korea Institute of Applied Superconductivity and Cryogenics Conference
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• 2003.02a
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• pp.88-91
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• 2003

The crystal structure and properties of YBa$_2$Cu$_3$$O_{7-x}$(YBCO) and CeO$_2$ thin films deposited on r-plane (1(equation omitted)02) sapphire substrate by pulsed- laser deposition(PLD) have been investigated. C-axis oriented epitaxial YBCO thin films with critical temperature (Tc) of 88 K were routinely grown on (200) oriented CeO$_2$ buffer layers with thickness in the range between 20 to 80 nm. When the thickness of the (200)oriented CeO$_2$ buffer layer increases over than 80 nm, the superconducting properties of YBCO thin films on that were deteriorated. The decrease in Tc of YBCO thin films was explained by the microcrack formation in CeO$_2$ buffer layer. These results indicate that the thickness of the (200) oriented CeO$_2$ buffer layer is critical to the epitaxial YBCO thin nim growth on r-plane (1(equation omitted)02) sapphire substrate.e.

• Journal of the Korea Society of Computer and Information
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• v.18 no.5
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• pp.35-42
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• 2013

Shot boundary detection is an essential step for efficient browsing, sorting, and classification of video data. Robust shot detection method should overcome the disturbances caused by pixel brightness and object movement between frames. In this paper, two shot boundary detection methods are presented to address these problem by using segmentation, object movement, and pixel brightness. The first method is based on the histogram that reflects object movements and the morphological dilation operation that considers pixel brightness. The second method uses the pixel brightness information of segmented and whole blocks between frames. Experiments on digitized video data of National Archive of Korea show that the proposed methods outperforms the existing pixel-based and histogram-based methods.

• Elastomers and Composites
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• v.43 no.1
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• pp.8-17
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• 2008

Styrene-butadiene rubber(SBR) has good abrasion resistance, miscibility, and anti-vibration property. however, it is easily damaged by ozone and swelled by hydrocarbon fluids because of unsaturation part in main chain, that causes loss of visco-elasticity and reduction of product's life cycle. Therefore, object of this study is to cope with this problem. SBR is blended with various proportion of ethylene-propylene-diene terpolymer(EPDM), which has excellent ozone and oxygen resistance, to improve physical properties and ozone resistance, and diverse analytical techniques are used to measure morphology, glass transition temperature$(T_g)$, ozone-resistance, degradation temperature, static spring constant, hardness for considering a suitability for anti-vibration industrial product. We found that the blend consisting of SBR 70% and EPDM 30% showed no crack after ozone test and good miscibility between SBR and EPDM from this study.

• Journal of Biomedical Engineering Research
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• v.25 no.3
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• pp.189-194
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• 2004

Pixel values of contrast enhanced computed tomography (CE-CT) images are randomly changed. Also, the middle liver part has a problem to segregate the liver structure because of similar gray-level values of a pancreas in the abdomen. In this paper, an automatic liver segmentation method using a partial histogram threshold (PHT) algorithm is proposed for overcoming randomness of CE-CT images and removing the pancreas. After histogram transformation, adaptive multi-modal threshold is used to find the range of gray-level values of the liver structure. Also, the PHT algorithm is performed for removing the pancreas. Then, morphological filtering is processed for removing of unnecessary objects and smoothing of the boundary. Four CE-CT slices of eight patients were selected to evaluate the proposed method. As the average of normalized average area of the automatic segmented method II (ASM II) using the PHT and manual segmented method (MSM) are 0.1671 and 0.1711, these two method shows very small differences. Also, the average area error rate between the ASM II and MSM is 6.8339 ％. From the results of experiments, the proposed method has similar performance as the MSM by medical Doctor.

• Journal of Biomedical Engineering Research
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• v.19 no.6
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• pp.571-575
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• 1998

One of the most significant features of diagnostic ultrasonic instruments is to provide real time information of the soft tissues movements. Echocardiogram has been widely used for diagnosis of heart diseases since it is able to show real time images of heart valves and walls. However, the currently used ultrasonic images are deteriorated due to presence of speckle noises and image dropout. Therefore, it is very important to develop a new technique which can enhance ultrasonic images. In this study, a technique which extracts enhanced binary images in echocardiograms was proposed. For this purpose, a digital moving image file was made from analog echocardiogram, then it was stored as 8-bit gray-level for each frame. For an efficient image processing, the region containing the heat septum and tricuspid valve was selected as the region of interest(ROI). Image enhancement filters and morphology filters were used to reduce speckle noises in the images. The proposed procedure in this paper resulted in binary images with enhanced contour compared to those form the conventional threshold technique and original image processing technique which can be further implemented for the quantitative analysis of the left ventricular wall motion in echocardiogram by easy detection of the heart wall contours.