• Journal of Intelligence and Information Systems
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• v.9 no.1
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• pp.125-137
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• 2003

In eastern countries stamps have been used more commonly than signatures when approving contracts and documents. Unlike finger prints, stamp images do not share similar patterns to each other and the resolution of stamp images is determined by the input status such as pressure under which stamps are put. This paper discusses the development of a system for recognizing stamp images of Korean or Chinese characters. Recognition of stamp images consists of several steps: acquisition of stamp images from an input device, digitization, contrast stretching, noise removal, and matching. We tested the system on 50 stamp images (20 stamp images of Korean characters, 20 images of Chinese characters, and 10 similar images). There was little difference in discrimination rate between the stamp images of Korean character and those of Chinese characters. 46 stamps images out of 50 were successfully recognized, resulting in 92% discrimination rate. Orientation and pressure under which stamps are put played an important role in determining discrimination rate. Automated stamp image recognition can be made more practical and useful by extending the types of stamp images to ellipses and rectangles and by improving the discrimination rate.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.17 no.3
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• pp.1-8
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• 2016

We propose an adaptive histogram stretching algorithm for application to a car's personal recorder. The algorithm was used for pre-processing to detect the license plate region in an image from a personal recorder. The algorithm employs a Probability Density Function (PDF) and Cumulative Distribution Function (CDF) to analyze the distribution diagram of the images. These two functions are calculated using an image obtained by sampling at a certain pixel interval. The images were subjected to different levels of stretching, and experiments were done on the images to extract their characteristics. The results show that the proposed algorithm provides less deterioration than conventional algorithms. Moreover, contrast is enhanced according to the characteristics of the image. The algorithm could provide better performance than existing algorithms in applications for detecting search regions for license plates.

• Journal of the Korea Society of Computer and Information
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• v.16 no.2
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• pp.55-60
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• 2011

In this paper, we propose a new method for extracting muscles from lumbar images. The proposed method sets areas without distortions with field expert's assistance as areas of measuring interest and removing noises from initial ultrasonic videos. Then, the method emphasizes the brightness contrast with Ends-in search stretching algorithm and separate thoracic vertebra from subcutaneous fat area using morphological characteristics. 4-directions contour tracing algorithm is applied to extract the bottom of subcutaneous fat area. Extracting thoracic vertebra area requires noise removal and morphological characteristics as well among candidate areas obtained by controlling min-max brightness. The thickness of muscles is then defined as the length between subcutaneous fat area and extracted thoracic vertebra. The experiment which consists of 368 image analysis verifies that the proposed method is more effective in measuring the thickness of muscles than before.

• Journal of Korean Neurosurgical Society
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• v.56 no.6
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• pp.531-533
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• 2014

We present a case of angiographically confirmed transection of the cisternal segment of the anterior choroidal artery (AChA) associated with a severe head trauma in a 15-year old boy. The initial brain computed tomography scan revealed a diffuse subarachnoid hemorrhage (SAH) and pneumocephalus with multiple skull fractures. Subsequent cerebral angiography clearly demonstrated a complete transection of the AChA at its origin with a massive extravasation of contrast medium as a jet trajectory creating a plume. We speculate that severe blunt traumatic force stretched and tore the left AChA between the internal carotid artery and the optic tract. In a simulation of the patient's brain using a fresh-frozen male cadaver, the AChA is shown to be vulnerable to stretching injury as the ipsilateral optic tract is retracted. We conclude that the arterial injury like an AChA rupture should be considered in the differential diagnosis of severe traumatic SAH.

• Journal of Korea Multimedia Society
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• v.7 no.4
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• pp.467-473
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• 2004

Caption in video plays an important role that delivers video content. Existing caption region extraction methods are difficult to extract caption region from background because they are sensitive to noise. This paper proposes the method to extract caption region in sports video using multiple frame merge and MBR(Minimum Bounding Rectangles). As preprocessing, adaptive threshold can be extracted using contrast stretching and Othu Method. Caption frame interval is extracted by multiple frame merge and caption region is efficiently extracted by median filtering, morphological dilation, region labeling, candidate character region filtering, and MBR extraction.

• Bulletin of the Korean Chemical Society
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• v.28 no.12
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• pp.2299-2302
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• 2007

A series of quaternary ammonium-based ionic liquids (ILs) containing an alkyl carbonate group on the cation was first prepared and their physical and electrochemical properties including density, viscosity, thermal stability, electrochemical stability, and ionic conductivity were reported. These ILs exhibited wide electrochemical windows of at least 5.0 V and relatively high conductivities. In contrast to dialkyl-substituted ionic liquids, the ILs with an alkyl carbonate group on the cation showed much smaller drop in conductivities when mixed with a lithium salt, due to the interaction of lithium ions with carbonate groups. Upon interaction with a Li salt, the carbonyl stretching frequency of the carbonate group shifted to a lower frequency whereas the peak associated with C-O single bond moved to a higher frequency.

• Journal of the Optical Society of Korea
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• v.12 no.3
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• pp.126-130
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• 2008

We propose and experimentally demonstrate an effective method to reduce near-field speckle noise at the output of a 50 ${\mu}m$ graded index multimode fiber using a short cylindrical piezoelectric transducer(PZT) vibrating in the radial direction. The fiber was coiled as tightly as possible around the mandrel of the PZT and a periodic stretching effect was caused by the radial oscillations of the actuator. The output of the optical fiber using the He-Ne laser source was intensively observed by a CCD camera. By counting all the pixels corresponding to relative intensity graded into 256 levels in the selected area and by calculating standard deviation and mean value of the intensity, we could measure the speckle contrast and vibration effect quantitatively with reduction ratio of pixels and line profile of the illuminated region. It was clearly observed that the characteristics of the speckle pattern in the vibration-on state were significantly improved over that of the vibration-off state due to time-averaged smoothing.

• Proceedings of the Korea Information Processing Society Conference
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• 2015.10a
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• pp.1416-1419
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• 2015

최근 건강에 대한 일반인들의 관심이 증가하면서 스마트 헬스케어 시장 규모가 기하급수적으로 커지고 있다. 특히 탈모 관련 헬스케어 시장의 경우, 국내 탈모 인구의 증가로 인해 탈모의 예방이나 관리 등 탈모 관련 어플리케이션이 빠르게 등장하고 있다. 모발 밀도는 탈모의 정도를 판단하기 위한 가장 기본적인 모발 특징 중 하나이지만, 모발의 밀도를 측정하기 위한 명확한 영상처리 기법이나 소프트웨어의 개발은 여전히 미진한 상태이다. 이에 본 논문에서는 스마트폰에 탈부착이 가능한 포터블 카메라에서 촬영된 두피 모발 현미경 영상에서 모발의 밀도를 측정하고 이를 기반으로 사용자 중심의 탈모 진단 플랫폼을 구축하고자 한다. 모발 밀도의 측정은 Contrast Stretching과 Morphology Processing을 이용한 전처리, 스켈레톤 이미지의 변환, 그리고 라인 끝점 검색 알고리즘의 적용 등 크게 세 단계로 진행된다. 제안하는 기법의 성능 평가를 위해, 50배율 포터블 카메라로 촬영한 두피 영상 30개에 대해 밀도 측정을 수행하였으며 그 결과 92.88%의 정확도를 얻었다. 결과적으로 제안하는 기법은 단순 두피 현미경 영상으로 탈모의 지표가 될 수 있는 모발 밀도를 측정하는 데 충분히 효과적임을 알 수 있다.

• Proceedings of the Korea Information Processing Society Conference
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• 2015.10a
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• pp.1420-1423
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• 2015

기존의 영상처리 및 컴퓨터 비전 기술은 X-ray, 군사용 사진, CCTV 영상과 같은 제한적인 상황에서 주로 사용되었다. 스마트폰이 보급되면서 고해상도의 사진을 어디서든 촬영할 수 있게 되었고, 고성능 디바이스를 이용하여 촬영된 영상을 즉시 가공 및 처리가 가능하게 되었다. 그 결과 영상처리 기술이 이전보다 다양하고 좀 더 일반적인 분야에서도 쓰이게 되었다. 그러나 영상처리 기술은 조건이 제한될수록 처리가 용이하며, 일반적인 이미지들을 처리하기 위해서는 고려해야 할 사항이 많다. 특히 두피 영상 분석의 경우 머리카락이 겹치는 부분이나 그림자, 머리카락이 밀집하여 상대적으로 어두워지는 부분 등을 고려해야 하는 어려움이 있으며 현재까지 영상처리를 이용한 두피영상 분석에 대한 연구는 많지 않은 것이 현실이다. 본 논문에서는 스마트폰에 부착하는 포터블 카메라로 촬영된 두피영상을 분석하여 모발의 두께를 측정하는 기법을 제시한다. 먼저 영상에 대한 전처리로 Contrast stretching과 이 진화 과정을 수행한다. 얻어진 이진화 영상에 대해 머리카락의 Skeleton을 추출하고 각 pixel의 각도(angle)를 이용하여 법선을 구한다. 계산된 법선과 머리카락 사이의 교점을 구한 후 두 점사이의 거리를 통해 모발의 두께를 계산한다. 계산된 두께와 현미경을 이용하여 측정한 모발의 실제 두께와 비교하여 제안된 기법의 정확도를 평가한다.

• Journal of IKEEE
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• v.26 no.2
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• pp.292-298
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• 2022

There is a limit to improving the image quality through global processing of images taken under backlighting because too bright and dark parts are mixed in one scene. This paper introduces a method to improve the quality of a photo by making two virtual images that improve the dark and bright areas of a backlit photo, and fusing them with the original image into a Laplacian pyramid. The proposed method reduces the computational burden by using histogram stretching and gamma transformation that can be simplified with LUT when creating the two virtual images. In addition, in order to obtain a color-enhanced image, contrast conversion was performed only on the luminance using the HSV coordinate system. The proposed technique showed its effectiveness by calculating several NIQA indicators using standard image data sets.