• The Journal of the Acoustical Society of Korea
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• v.29 no.8
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• pp.504-508
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• 2010

In conventional diagnostic ultrasound strain imaging, when displaying strain image on a monitor, human visual characteristics are utilized such that hard regions are displayed as dark and soft regions are displayed as bright. Thus, hard regions representing tumor or cancer are displayed as dark, decreasing the contrast inside the lesion. Because the lesion area is stiff and thus displayed as dark, a method of inverting the image brightness and thereby increasing the contrast in the lesion for better diagnostic purposes is proposed wherein a postcompression signal is extended in the time domain by a factor corresponding to the reciprocal of the amount of the applied compression using a technique termed globally uniform stretching. Experiments were carried out to verify the proposed method on an ultrasound elasticity phantom with radio-frequency data acquired from a diagnostic ultrasound clinical scanner. It is found that the new method improves the contrast-to-noise ratio by a factor of up to about 1.8 compared to a conventional strain imaging method that employs a reversed gray color map without globally uniform stretching.

• The Journal of the Acoustical Society of Korea
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• v.30 no.5
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• pp.239-248
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• 2011

In order to improve the quality of strain images in medical ultrasound imaging, displacements need to be accurately estimated. In this paper, in order to apply one-dimensional displacement estimation methods to two-dimensional motion estimation, the axial and lateral displacements are separately estimated. In order to estimate lateral displacements, one-dimensional signals aligned in the lateral direction are converted to analytic signals, which are then crosscorrelated. Strain images are produced by first compensating two-dimensional displacements for lateral motion with lateral motion displacement estimates obtained from the proposed lateral displacement estimation algorithm and then estimating axial displacements. Both phantom and human data experiments show that the proposed method provides better signal-to-noise ratio and contrast-to-noise ratio characteristics than a conventional strain imaging method that utilizes axial displacement estimates only.

• Journal of the Korea institute for structural maintenance and inspection
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• v.20 no.3
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• pp.111-121
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• 2016

In this study, measurements were conducted by image processing to do an in-depth evaluation of strain of rebar in a uniaxial tension test. The distribution of strain and the necking region were evaluated. The image processing is used to analyze the color information of a colored image, so that the parts consistent with desired targets can be distinguished from the other parts. After this process, the image was converted to a binary one. Centroids of each target region are obtained in the binary images. After repeating such process on the images from starting point to the finishing point of the test, elongation between targets is calculated based on the centroid of each target. The tensile test were conducted on grade 60 #7(D22) and #9(D29) rebars fabricated in accordance with ASTM A615 standards. Strain results from image processing were compared to the results from a conventional strain gauge, in order to see the validity of the image processing. With the image processing, the measuring was possible in not only the initial elastic region but also the necking region of more than 0.5(50%) strain. The image processing can remove the measuring limits as long as the targets can be video recorded. It also can measure strain at various spots because the targets can easily be attached and detached. Thus it is concluded that the image processing helps overcome limits in strain measuring and will be used in various ways.

• Transactions of the Korean Society of Mechanical Engineers A
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• v.40 no.9
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• pp.791-799
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• 2016

To ensure the reliability and safety of various mechanical systems in accordance with their high-speed usage, it is necessary to evaluate the dynamic deformation behavior of structural materials under impact load. However, it is not easy to understand the dynamic deformation behavior of the structural materials using experimental methods in the high strain-rate range exceeding $10^4\;s^{-1}$. In this study, the Taylor bar impact test was conducted to investigate the dynamic deformation behavior of metallic materials in the high strain-rate region, using a high-speed photography system. Numerical analysis of the Taylor bar impact test was performed using AUTODYN S/W. The results of the analysis were compared with the experimental results, and the material behavior in the high strain-rate region was discussed.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2019.06a
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• pp.118-119
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• 2019

본 논문에서는 비디오 제작 및 유통의 활성화에 따라 필요성이 높아지고 있는 장면 전환을 검출하는 방법을 제안한다. 유통 과정에서 해상도 변환, 자막 삽입, 압축, 영상 반전 등의 다양한 변형이 추가되더라도 동일하게 장면 전환을 검출해야 하므로 전처리 과정과 SIFT를 이용한 특징 추출, 변형을 고려한 매칭 방법을 이용하여 프레임 간의 매칭률을 계산한다. 또한 매칭률의 임계값을 기준으로 장면 전환 여부를 판단한다. 원본 비디오에서의 특징을 가지고 다양한 변형이 가해진 비디오에서의 특징과 매칭률을 계산하여 유효성을 판단한다.

• Journal of the Korea Concrete Institute
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• v.29 no.1
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• pp.33-42
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• 2017

This study conducted uniaxial tension tests on D10, D19, D29, and D35 SD400 steel-grade rebar and evaluated the strain distributions and necking regions to provide basic data for resolving differences between evaluation methods. Owing to the limitations of the existing measurement methods, this study conducted detailed evaluations of the strain of the rebar and necking regions using image processing, which is almost limitless on the measurement range and can easily distinguish measurement regions. The strain was concentrated at the region where necking occurred when the rebar approached its ultimate strength, which was successfully confirmed through image processing. The correlation between the length of the necking region and the diameter of the rebar could be analyzed by evaluating the necking region that occurs during the ultimate behavior of the rebar. According to the results, the length of the necking region is around 1.5~2.5 times the diameter of the rebar.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.11 no.3
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• pp.880-890
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• 2010

The intrasvascular ultrasound (IVUS) imaging technique is used to diagnose cerebrovascular diseases such as stroke. Recently, elasticity imaging methods have been investigated to diagnose blood clots attached to blood vessel intima. However, the IVUS imaging technique is an invasive method that requires a transducer to be inserted into blood vessel. In this paper, strain images are obtained of blood clots attached to blood vessel intima with data acquired from outside the blood vessel using a linear array transducer. In order to measure the displacement of blood vessel accurately, experimental data are acquired by steering ultrasound beams so that they can intersect the blood vessel wall at right angles. The acquired rf data are demodulated to the baseband. The resulting complex baseband signals are then processed by an autocorrelation algorithm to compute the blood vessel movement and thereby produce strain image. This proposed method is verified by experiments on a plastic blood vessel mimicking phantom. The efficacy of the proposed method was verified using a home-made blood vessel mimicking phantom. The blood vessel mimicking phantom was constructed by making a 6 mm diameter hollow cylinder inside it to simulate a blood vessel and adhering 2 mm thick soft plaque to the inner wall of the hollow cylinder. The RF data were acquired using a clinical ultrasound scanner (Accuvix XQ, Medison, Seoul. Korea) with a 7.5 MHz linear array transducer by steering ultrasound beams in steps of $1^{\circ}$ from $-40^{\circ}$ to $40^{\circ}$ for a total of 81 angles. Experimental results show that the plaque region near the blood vessel wall is softer than background tissue. Although the imaging region is restricted due to the limited range of angles for which scan lines are perpendicular to the wall, the feasibility of strain imaging is demonstrated.

• Proceedings of the Korean Society for Technology of Plasticity Conference
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• 1999.06b
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• pp.51-64
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• 1999

가스터빈에 사용되는 소재는 여타 금속소재에 비하여 고온 기계적 특성은 우수한 반면 상대적으로 단조성이 떨어지기 때문에, 금속소재의 단조성에 대한 이해와 단조 공정별 장단점을 파악하여 단조공정 설계에 반영하여야 한다. 가스터빈용 Ni합금의 경우 고온기계적 성질은 결정립 크기에 크게 의존한다. 결정립 크기는 기계적 성질에 직접적으로 영향을 미치는데, 동적재결정의 경우 초기 결정립크기, 변형률, 변형속도, 온도 뿐만 아니라 결정립계에 석출된 제2상에 의해서 크게 영향을 받기 때문에 이들 상의 고용온도를 파악하여 단조공정 설계에 반영하여야 한다. 유한요소법으로 변형률과 온도분포를 해석함으로써 단조품 내의 결정립 분포를 효과적으로 예측할 수 있다. 다단계 단조 경우, 최종 단조품의 결정립 크기는 단계별 단조 온도 및 변형률 배분 등에 따라 변하므로 이를 고려하여야 한다.

• Proceedings of the Korea Information Processing Society Conference
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• 2008.05a
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• pp.103-106
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• 2008

본 논문에서는 지능형 자동차의 주행보조 시스템 중의 하나인 교통 표지판 인식을 위한 새로운 방법을 제안한다. 제안한 방법은 잡음, 회전, 크기 등의 변형된 교통 표지판으로부터 기하학적 방법을 이용하여 변형된 정도를 추정하여 교통 표지판 원형으로 보정한다. 그리고 교통 표지판 인식을 위해서 보정된 표지판 영상으로부터 순차적 색기반 군집화(Sequential color-based clustering)에 의한 주의, 규제, 지시, 보조 등의 1차적 분류에 따라서 해당 교통 표지판의 형태 특징인 인식 심벌을 추출한다. 그리고 추출된 인식 심벌에 원형 추척법을 적용하여 교통 표지판 최종 인식 작업을 수행한다. 제안하는 방법의 성능 평가를 위해서 교통 표지판 영상에 잡음, 회전, 크기 등의 임의 변형을 적용하여 다양한 실험 영상을 만들고, 적용한 결과 단일 변형에서는 95%, 혼합 변형에서는 93% 이상의 인식률을 보인다.

• Proceedings of the Korea Multimedia Society Conference
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• 1998.04a
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• pp.138-142
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• 1998

자동차 번호판 인식시스템은 영상획득, 번호판 추출, 전처리(이치화), 문자영역분할, 문자인식 등의 5가지 핵심부분으로 구성되어 있다. 따라서 자동차 번호판 인식시스템의 최종 인식률은 각 단계의 성능에 따라 직접적인 영향을 받는다. 본 논문은 컴퓨터 비젼의 한 분야인 영상처리 기법을 이용한 이치화된 자동차 번호판의 문자영역 추출에 관한 연구로서 문자 인식단계에서 높은 인식률을 확보하기 위해서 가장 중요한 입력 데이터의 상태를 보다 깨끗하게 정확하게 분리하는데 변형된 Run Length Coding 기법을 이용하여 효과적이고 빠른 문자 영역 분리 방법을 제안함으로서 처리속도의 향상은 물론 잡영에도 강한 문자 영역 분리 시스템을 구현하였다.