• Journal of Biomedical Engineering Research
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• v.25 no.4
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• pp.235-242
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• 2004

In this paper, we proposed the algorithm for detection of microtalcification by automatic threshold decision based on region growing method. The region for optimal threshold is grown from local maximum pixel by increasing repeatedly threshold in microralcification candidate region. Then, the optimal threshold is automatically decided at the maximum value of the contrast and edge sharpness in this region. Microcalcifications could be efficiently detected as satisfied result that true positive ratio is 81.5% and average false positive numbers are 1.1 about total 299 microcalcifirations in real image. In a result, we showed that this algorithm can be used to aid diagnostic-radiologist for the diagnosis of the early phase of breast cancer.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2011.07a
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• pp.451-453
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• 2011

본 논문에서는 챔퍼 디스턴스 매칭(chamfer distance matching)를 이용하여 위성 영상 상의 북한군 자주포진지(self-propellent artillery position)를 매칭하는 기법을 제안한다. 먼저 입력되는 위성 영상을 잡음환경에 강인한 가우시안-라플라시안 연산자를 이용하여 에지(edge)를 추출한다. 추출된 에지 영상의 각 픽셀에 대해 가장 가까운 에지까지의 거리를 나타내는 거리 변환(distance transform) 영상을 생성한다. 템플릿 영상은 다양한 자주포진지 영상에서 샘플링된 영상으로 에지를 추출한 후 거리 변환을 거친다. 마지막으로 템플릿 영상을 입력된 거리 변환 영상에 윈도우 슬라이딩(window sliding)하여 최소값의 가지는 위치를 구한다. 제안 기법은 잡음에 강인한 가우시안-라플라시안 연산자를 사용하여 기상조건에 의한 입력 영상의 편차에도 효율적인 매칭이 가능하다. 또한 에지 기반의 챔퍼 매칭을 이용하기 때문에 비 균일 조명 환경에서도 강인한 매칭이 이루어진다. 전산 모의 실험에서 제안 알고리즘은 입력 위성 영상 상의 자주포진지를 적은 계산량으도 신뢰있게 매칭함을 보여준다.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.15 no.12
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• pp.7302-7308
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• 2014

Detecting target objects robustly in natural environments is a difficult problem in the computer vision and image processing areas. This paper suggests a method of robustly detecting target objects in the environments where reflection exists. The suggested algorithm first captures scenes with a stereo camera and extracts the line and corner features representing the target objects. This method then eliminates the reflected features among the extracted ones using a homographic transform. Subsequently, the method robustly detects the target objects by clustering only real features. The experimental results showed that the suggested algorithm effectively detects the target objects in reflection environments rather than existing algorithms.

• Wind and Structures
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• v.11 no.5
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• pp.345-359
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• 2008

An experimental investigation of the flow over the rectangular body located in close proximity to a ground board was reported using the particle image velocimetry (PIV) technique. The present experiments were conducted in a closed-loop open surface water channel with the Reynolds number, $Re_H=1.2{\times}10^4$ based on the model height. In addition to the PIV measurements, flow visualization studies were also carried out. The PIV technique provided instantaneous and time-averaged velocity vectors map, vorticity contours, streamline topology and turbulent quantities at various locations in the near wake. In the vertical symmetry plane, the upperbody flow is separated from the sharp top leading edge of the model and formed a large reverse flow region on the upper surface of the model. The flow structure downstream of the model has asymmetric double vortices. In the horizontal symmetry plane, identical separated flow regions occur on both vertical side walls and a pair of primary recirculatory bubbles dominates the wake region.

• The Journal of the Acoustical Society of Korea
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• v.19 no.6
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• pp.10-16
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• 2000

A new algorithm for estimating bladder volume for portable bladder volume measurement system is proposed. Given the actual image of a bladder, edges between bladder wall and urine are extracted first. Axes are calculated from these data and actual cross section shape is obtained by filtering. Since ordinary shape of a bladder is irregular, two cross-sections(transverse and longitudinal) are considered. With the area of a longitudinal cross-section projected along the axes of transverse cross-section, or vice versa, two estimated volume are obtained. Averaging these two value yields the volume of the bladder. Applied to actual experiments, the proposed algorithm showed explicitly good results in comparison with the conventional techniques.

• Proceedings of the Korea Contents Association Conference
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• 2015.05a
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• pp.177-178
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• 2015

디지털방사선영상시스템의 영상 품질을 비교하기 위해 영상의 정량적인 분해능을 나타내는 변조전달함수(MTF), 노이즈 특성을 나타내는 잡음력 스펙트럼(NPS)을 이용하여 영상 품질평가를 하였다. IEC61267 선질을 사용하여 IEC62220-1에서 제시하는 기하학적인 조건과 실제 임상에서 사용되어지는 기하학적인 조건을 사용하여 그리드 및 부가필터, 임상선량을 이용하여 edge 팬텀을 사용하여 MTF, NPS값을 측정하였다. 그리드사용 유 무, 부가필터사용 유 무, kV, 임상선량(mAs), 영상검출기까지의 거리에 따른 MTF 결과는 임상조건 100cm, 180cm과 IEC62220-1 기하학적인 조건 150cm에서 MTF 공간주파수 측정값은 비슷하게 나타났으며, 오히려 임상조건 100cm에서 공간주파수가 높게 나타나는 경우도 있었다. NPS 결과는 선량(mAs)이 증가함에 따라 감소함을 나타내었다. IEC61267 선질을 이용한 영상품질평가에서는 IEC62220-1기하학적인 조건을 이용한 품질평가보다 임상조건 기하학적인 조건을 사용한 영상의 품질이 좋았다. 본 논문의 영상특성 평가 연구 결과들을 바탕으로 향후 IEC 표준의 영상평가에서 제시하는 평가방법보다는 임상 조건을 적용한 영상특성 평가방법을 적용한다면 실제 임상의 디지털방사선영상시스템의 영상품질을 적절하게 유지할 수 있을 것으로 사료된다.

• Journal of the Korean Society of Hazard Mitigation
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• v.10 no.3
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• pp.21-29
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• 2010

In this study, characteristics of natural disaster and damage in North Korea are examined by using CRED(Centre for Research on the Epidemiology of Disasters) data from 1980 to 2008. Result shows that most natural disasters are caused by summertime typhoon and floods with typical floods of 1995 and 2007. Also, synoptic weather condition associated with heavy rainfall in North Korea is analyzed by using satellite image and weather chart provided by JMA(Japan Meteorological Agency). The heavy rainfalls associated with flood in North Korea are mainly related to the effect of Changma front, abrupt development of southeastward moving low over Yellow Sea, convective instability at the edge of North Pacific high and passage of weakened tropical cyclone(typhoon).

• Journal of Advanced Navigation Technology
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• v.13 no.1
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• pp.142-150
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• 2009

It is very important to generate a simplified model from a complex 3D character in computer game. We propose a new method of extracting feature lines from a 3D game character. Given an unstructured 3D character model containing texture information, we use model feature map (MFM), which is a 2D map that abstracts the variation of texture and curvature in the 3D character model. The MFM is created from both a texture map and a curvature map, which are produced separately by edge-detection to locate line features. The MFM can be edited interactively using standard image-processing tools. We demonstrate the technique on several data sets, including, but not limited to facial character.

• 제어로봇시스템학회:학술대회논문집
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• 2005.06a
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• pp.57-61
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• 2005

This paper presents a new colonoscopy training simulator that includes a specialized haptic device and graphics algorithms to transfer haptic sensation through a long and flexible tube, and manage large number of polygons. The developed haptic device makes the colonoscope tube move along the two guiding rods in the translational direction. The torque of the roll motion is transferred by a timing belt and pulleys. A special guide is developed, which allows the force and torque from the motors to be transmitted to the user without loss. The haptic device is evaluated by physicians. One of the important skills of the colonoscopy, jiggling is incorporated for the first time by the developed sensor mechanism using photo-sensors. A colonoscope handle that shares the look, feel, and functions with the actual colonoscope, is developed with the necessary electronics inside. The number of polygons is reduced by an edge-collapse algorithm for real-time simulation. The algorithms to import CT data, to segment the colon image, to extract centerline of the colon, and to construct the colon surface, are integrated into a Colon Modeling Kit system that performs all these processes in real-time.

• Journal of Institute of Control, Robotics and Systems
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• v.14 no.8
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• pp.818-823
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• 2008

In this paper, we propose a feature extraction method which extracts directional features of handwritten numerals by using the projection runlength. Our directional featrures are obtained from four directional images, each of which contains horizontal, vertical, right-diagonal and left-diagonal lines in entire numeral shape respectively. A conventional method which extracts directional features by using Kirsch masks generates edge-shaped double line directional images for four directions, whereas our method uses the projections and their runlengths for four directions to produces single line directional images for four directions. To obtain the directional projections for four directions from a numeral image, some preprocessing steps such as thinning and dilation are required, but the shapes of resultant directional lines are more similar to the numeral lines of input numerals. Four [$4{\times}4$] directional features of a numeral are obtained from four directional line images through a zoning method. By using a hybrid feature which is made by combining our feature with the conventional features of a mesh features, a kirsch directional feature and a concavity feature, higher recognition rates of the handwrittern numerals can be obtained. For recognition test with given features, we use a multi-layer perceptron neural network classifier which is trained with the back propagation algorithm. Through the experiments with the handwritten numeral database of Concordia University, we have achieved a recognition rate of 97.85%.