• 한국방사선학회논문지
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• 제15권5호
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• pp.705-713
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• 2021

엑스선 영상 시스템으로부터 획득한 영상의 공간주파수에 대한 해상도를 분석하기 위해 변조전달함수(modulation-transfer function, MTF)를 계산한다. 일반적으로 검출기의 응답함수는 슬릿-카메라를 사용하여 선분포함수(line-spread function, LSF)를 획득하고, 푸리에 변환을 거쳐 변조전달함수를 도출한다. 엑스선이 항상 슬릿-카메라 중심에 입사해야 된다는 조건 때문에 실험자에 의해 발생하는 검출기와 슬릿-카메라의 기울임은 검출기 성능에 영향을 미치게 된다. 이와 더불어 기울임에 확대율이 더해진다면 엑스선 영상 시스템의 성능평가에 문제가 발생할 것이다. 본 연구에서는 실험적 오차에 기인하여 이를 변조전달함수, 즉 푸리에 도메인에서 실험과 분석모델을 해석하였고, 공간주파수에 미치는 영향을 분석하였다. 나아가 다양한 엑스선 영상 시스템에 있어 성능평가가 실시되어야 할 것이고, 실험적 오차는 불가결하게 발생하며 이를 허용할 수 있는 범위에 대한 검토가 이루어져야 한다.

• 대한디지털의료영상학회논문지
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• 제13권3호
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• pp.139-144
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• 2011

The purpose of this report is recommending a standard indicator which reflects the radiation exposure that is incident on a detector after every exposure event and that reflects the noise levels present in the image data. The experiment was performed with mobile digital X-ray unit and used a acrylic phantom for exposure index measurement. Exposure modality was kVp, mAs, SID. After every exposure, make a data sheet for characteristic curve of detector response. The equipment performed Mobile digital X-ray unit provide the user with values ralated to the incident exposure(air kerma)to the digital detector. They are showed as a logarithmic function shaped. As a result, DEI means a relative measure of exposure to the detector, as compared to the expected exposure for a particular anatomical view. Radiographic technique is the combination of factors used to exposure an anatomical part to produce a high quality radiography and technique charts used most commonly by radiographers to produce consistently exposure level which patient dose can be kept acceptably low.

• Journal of Radiation Protection and Research
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• 제44권2호
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• pp.53-63
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• 2019

Background: As neutron fields are always accompanied by gamma rays, it is essential to distinguish neutrons from gamma rays in the detection of neutrons. Neutrons and gamma rays can be separated by pulse shape discrimination (PSD) methods. Recently, we performed characterization of a stilbene scintillator detector and an EJ-301 liquid scintillator detector with a high-speed digitizer DT5730 and investigated optimized PSD variables for both detectors. This study is for providing a basis for developing fast neutron/gamma-ray dual-particle imager. Materials and Methods: We conducted PSD experiments using stilbene scintillator and EJ-301 liquid scintillator and evaluated neutron and gamma ray discriminability of each PSD method with a $^{137}Cs$ gamma source and a $^{252}Cf$ neutron source. We implemented digital signal processing techniques to apply two PSD methods - the charge comparison (CC) method and the constant time discrimination (CTD) method - to distinguish neutrons from gamma rays. We tried to find optimized PSD variables giving the best discriminability in a given experimental condition. Results and Discussion: For the stilbene scintillator detector, the charge comparison method and the constant time discrimination method both delivered the PSD FOM values of 1.7. For the EJ-301 liquid scintillator detector, both PSD methods delivered the PSD FOM values of 1.79. With the same PSD variables, PSD performance was excellent in $300{\pm}100keVee$, $500{\pm}100keVee$, and $700{\pm}100keVee$ energy regions. This result shows that we can achieve an effective discrimination of neutrons from gamma rays using these scintillator detector systems. Conclusion: We applied both PSD methods to a stilbene and a liquid scintillator and optimized the PSD performance represented by FOM values. We observed a good separation performance of both scintillators combined with a high-speed digitizer and digital PSD. These results will provide reference values for the dual-particle imager we are developing, which can image both fast neutrons and gamma rays simultaneously.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 2004년도 ICCAS
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• pp.185-189
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• 2004

For face recognition system, a face detector which can find exact face region from complex image is needed. Many face detection algorithms have been developed under the assumption that background of the source image is quite simple . this means that face region occupy more than a quarter of the area of the source image or the background is one-colored. Color-based face detection is fast but can't be applicable to the images of which the background color is similar to face color. And the algorithm using neural network needs so many non-face data for training and doesn't guarantee general performance. In this paper, A multi-scale, multi-face detection algorithm using PCA is suggested. This algorithm can find most multi-scaled faces contained in static images with small number of training data in reasonable time.

• 한국군사과학기술학회지
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• 제7권4호
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• pp.79-86
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• 2004

This paper has presented to the design results of the analog and digital signal processor for the 2nd generation thermal imaging system using $480\times6$ infrared focal plane array In order to correct non-uniformities of detector arrays, we have developed the 2-point correction method using the thermo electric cooler. Additionally, to enhance the image of low contrast and improve the detection capability, we developed the new technique of histogram processing being suitable for the characteristics of contrast distribution of thermal imagery. Through these image processing techniques, we obtained a high qualify thermal image and acquired good result.

• 대한전자공학회:학술대회논문집
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• 대한전자공학회 2008년도 하계종합학술대회
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• pp.923-924
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• 2008

Image completion is to repair a portion of removed image automatically. In this paper, we propose an image completion technique with inner structure estimation. Our method consists of two steps. An inner structure is first estimated by using sobel edge detector. Then, the removed pixels are repaired using similar patches in the known region. By experimental results, it is shown that our approach works well on natural images.

• Journal of Information Processing Systems
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• 제12권4호
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• pp.681-687
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• 2016

Today's modern world requires a digital watermarking technique that takes the redundancy of an image into consideration for embedding a watermark. The novel algorithm used in this paper takes into consideration the redundancies of spatial domain and wavelet domain for embedding a watermark. Also, the cryptography-based secret key makes the algorithm difficult to hack and help protect ownership. Watermarking is blind, as it does not require the original image. Few coefficient matrices and secret keys are essential to retrieve the original watermark, which makes it redundant to various intentional attacks. The proposed technique resolves the challenge of optimizing transparency and robustness using a Canny-based edge detector technique. Improvements in the transparency of the cover image can be seen in the computed PSNR value, which is 44.20 dB.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2002년도 하계학술대회 논문집 D
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• pp.2521-2524
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• 2002

In this paper, We propose an Image processing algorithm for a paper-cup inner defect inspection. First, we devide a cup image to four sections considering the characteristic of a cup and filter noises limit by using the flood-fill algorithm and median filter. Second, to obtain the clearer inspection result of the edge point inner cup, We apply the sharpening convolution filer to the objected inspect the edge points by using the LOG edge detector. Third, executing sub-pixel operation with the orignal image, we find the defect parts in the cup. Finally, denoting the inspected defect parts as rectangular, we recompose the images of the defected ones.

• 한국컴퓨터정보학회논문지
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• 제21권9호
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• pp.45-49
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• 2016

In this study, an image processing algorithm was developed to increase readability of the images of specific parts of a KTX train acquired by using a mobile digital radiographic testing device in a situation where a running train is stopped. The image processing algorithm was realized by using a Visual C++ development tool. The algorithm developed in this study allows to select an interested region in the acquired images when the interested region is suspected to cause a problem, and applies a thinning process based Sobel operators to the selected region. The experimental results show that the readability of defect parts that are not visible to naked eyes was increased through edge detector. Application of the algorithm developed in this study may help to accurately read non-destructive inspection images.

• 한국안전학회지
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• 제28권1호
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• pp.1-5
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• 2013

In this paper, the finite element analysis using ADINA has performed to investigate an accident that a man's head was damaged by the falling object. The simulation condition has defined by the point of forensic medicine view and the CCTV image analysis. From the CCTV image analysis, we expected that the sphere diameter of object is 15cm and object color is white. Assuming the falling mass is the ice mass, the results of the ADINA simulation show that a man's head can be broken by the falling ice mass.