• Journal of the Korean Society of Radiology
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• v.10 no.6
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• pp.381-385
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• 2016

This study aims to propose a method for reducing radiation dose in high-voltage radiography using air gap technique while maintaining the same image quality as when using grids. For an experiment, air gaps were set at 10 cm, 15 cm, 20 cm, 25 cm, and 30 cm with a focus-receptor distance of 180 cm; with each air gap distance, tube current was set at 15 mAs, and tube voltage was set at 80 kVp, 85 kVp, 90 kVp, 95 kVp and 100 kVp. Then, radiographs were taken. In a situation of employing a conventional method of using grids, radiographs were taken at 15 mAs and 107 kVp with a focus-receptor distance of 180 cm. According to the results of the experiment, the surface radiation dose from radiography using grids was 0.130 R; the surface radiation dose at a 20cm air gap was 0.124 R; PSNR between these two images was 10.65 [dB]. In conclusion, the air gap distance, which could maintain the image quality similar to that of a case where scattered radiation was removed and grids were used with a small surface radiation dose, was 20 cm. The result of this study is thought to be used as an indicator to remove surface radiation dose in radiography using air gap.

• Journal of the Korean Society of Radiology
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• v.15 no.3
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• pp.329-336
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• 2021

The Study studied the Inspection Method of Images to obtain a sharp image of the Costume among the bones Composed of Thoracic Using the Thoracic Cage Rando Phantom. At 80 cm of the phantom Distance at the X-ray tube focus, the position of the Phantom was Examined by Changing the Rt and Lt Posterior Oblique(LAO) and Rt and Lt Posterior Postero Oblique positions by 20°, 25° and 30°. The acquired images were Subjectively Evaluated by the Radiographer, and the Evaluation data were analyzed as SPSS ver. 3.0. The signal-to-noise ratio (SNR) was Calculated using the ImageJ Program. As a result, the Cronbach Alpha value was Significantly higher at 0.789. The results of the Signal-to-Noise Ratio (SNR) were high at 20° to 6.038 in the right posterior Transcription Direction at the time of Examination and 7.860, in the Supine Position, for images of Sternum bones. In conclusion, it is Believed that the patient position can be obtained from the Right Anterior Oblique(RAO) Position 20° if the X-ray technique is used to obtain the Sternum's advanced image, and the Left Anterior Oblique(LAO) Position 25° when filming in the Rght lying position.

• Proceedings of the Korean Association of Geographic Inforamtion Studies Conference
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• 2003.04a
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• pp.531-536
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• 2003

In this paper, a camera modeling method that utilizes ephemeris data and imaging geometry is presented. The proposed method constructs a mathematical model only with parameters that are contained in the leader file and does not require any ground control points for model construction. Control points are only needed to eliminate geolocation error of the model that is originated from errors in the parameters that are used in model construction. With few (one or two) of control points, RMS error of less than pixel size can be obtained and control points are not necessarily uniformly distributed over the entire scene. This advantage is crucial in large project and will enable to reduce project cost dramatically.

• Korean Journal of Remote Sensing
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• v.19 no.4
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• pp.285-290
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• 2003

In this paper, a camera modeling method that utilizes ephemeris data and imaging geometry is presented. The proposed method constructs a mathematical model only with parameters that are contained in auxiliary files and does not require any ground control points for model construction. Control points are only needed to eliminate geolocation error of the model that is originated from errors embedded in the parameters that are used in model construction. By using a few (one or two) control points, RMS error of around pixel size can be obtained and control points are not necessarily uniformly distributed in line direction of the scene. This advantage is crucial in large-scale projects and will enable to reduce project cost dramatically.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• fall
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• pp.95-96
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• 2021

최근 미디어의 발전으로 빠른 속도로 많은 양의 사람들의 얼굴이 포함된 사진, 동영상들이 인터넷에 업로드 되고 있다. 이러한 현상에 맞춰 인공지능을 활용한 얼굴 인식 기술의 놀라운 발전이 있었으나, 대규모 데이터셋에서 임의의 인물을 검색하는 경우에서는 연산량과 저장공간의 부담이 존재한다. 특히, 인터넷에 존재하는 수많은 불법 촬영물에서 피해자를 정확하고 신속하게 검색하기 위해서는 효율적인 얼굴 검색 시스템이 필요하다. 따라서, 본 논문은 얼굴 특징 추출과 클러스터링을 활용하여 방대한 양의 불법 촬영물 셋에서 피해자 동영상을 효율적으로 검색할 수 있는 기법을 제안한다. 불법 촬영물 동영상 검색 실험 환경을 만들기 위해 YouTube Faces [1] 데이터셋으로 유사 동영상 셋을 만들고 이 환경에서 실험을 진행한다. 얼굴 특징 추출 모델은 ResNet100 네트워크를 CosFace 손실함수와 Glint360K 데이터셋으로 학습시킨 모델 [2]을 사용한다. 추출된 얼굴 특징들을 HAC(Hierarchical Agglomerative Clustering) 알고리즘으로 클러스터링 한 후, 클러스터 대푯값을 통해 얼굴 검색 실험을 했을 때의 실험 결과를 분석한다.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2021.05a
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• pp.353-354
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• 2021

In this study, in order to overcome the limitations of the particle size analysis method using a scanner, a microscope, or a laser, and to reduce the cost, a high-quality sampling of micro minerals is performed using an ultra-high-pixel DSLR camera and a MACRO lens. Using this, digital photos taken of standard mineral particles are analyzed to distinguish the size and shape of mineral particles at the level of grain of sand (a few mm ~ 0.063 mm). In addition, various photographing techniques for the production of three-dimensional images of mineral particles were sought, and an attempt was made to produce learning materials and images for mineral classification.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2013.06a
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• pp.12-13
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• 2013

본 논문은 비가 오는 장면을 촬영한 동영상에서 빗줄기를 효과적으로 제거하는 기법을 제안한다. 제안하는 기법에서는 광흐름 검출 기법을 이용하여 인접한 프레임에서 현재 프레임의 픽셀에 대응하는 픽셀을 검출하고, 확률에 따라 해당 프레임의 픽셀 적용 유무를 결정한다. 빗줄기로 검출된 픽셀을 인접한 프레임의 픽셀 값으로 대체함으로써 영상 내 빗줄기를 제거한다. 컴퓨터 모의실험을 통해 제안하는 알고리즘이 동영상에서 효과적으로 빗줄기를 제거할 수 있음을 확인한다.

• Journal of Korea Multimedia Society
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• v.8 no.4
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• pp.482-491
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• 2005

In this paper, we proposed the microcalcification detection algorithm which is based on wavelet transform and automatic thresholding method in the X-ray mammographic images. Digital X-ray imaging system is essential equipment in the field diagnosis and is widely used in the various fields such as chest, fracture of a bone, and dental correction. Especially, digital X-ray mammographic imaging is known as the most important method to diagnose the breast cancer, many researches to develop the imaging system are processing in country. In this paper, we proposed a microcalcifications detection algorithm necessary in the early phase of breast cancer diagnosis and showed that a algorithm could effectively detect microcalfication and could aid diagnosis-radiologist.

• Proceedings of the Korean Society of Propulsion Engineers Conference
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• 2006.11a
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• pp.25-29
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• 2006

The object of this study is to develop new examination techniques for measuring the O-ring deformation behavior under the pressure condition. The extrusion lengths measured from the computed tomography were in good agreement with the results that measured from non-contact laser displacement sensor. The deformed shapes of O-ring measured by the computed tomography and evaluated by the FEM agreed well with the extrusion length and the expanded diameter. But the contact widths of the O-ring and steel measured by the computed tomography were a little larger than the results of the FEM.

• Journal of the Korea Society of Computer and Information
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• v.13 no.1
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• pp.125-133
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• 2008

Motion blur is a blurring effect on an image caused by the relative motion between the camera and objects in the scene. When an image is captured, motion blurs are caused by relative motion between the camera and the scene. When different objects are moving at different speeds, the characteristics of the blur effect for each object appear differently. To restore the spatially variant blurred image, each of the blur extents should be identified. In this paper, we propose a new method for the identification of blur extent locally using RATS from the image in which the spatially variant motion blur is caused Experiment shows that the proposed algorithm successfully segments the objects with different blurs and identifies the blur extents quite well.