• Aerospace Engineering and Technology
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• v.10 no.2
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• pp.163-169
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• 2011

This paper introduces a method about water line detection using SAR image. The method includes pre-processing of the SAR image with the threshold of the histogram to recognize the boundary between the water and the landmass area. Finally we applied the image differentiation to detect the water line in the SAR image. The TerraSAR-X and the Cosmo-SkyMed images, which are the high spatial resolution X-band SAR data, are used for the evaluation of our algorithm. The accuracy is verified over the stream line in urban area with the result from the Cosmo-SkyMed.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.6 no.8
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• pp.1365-1373
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• 2002

In this paper, we present two types of vision algorithm that mobile robot has CCD camera. for obstacle avoidance. This is simple algorithm that compare with grey level from input images. Also, The mobile robot depend on image processing and move command from PC host. we has been studied self controlled mobile robot system with CCD camera. This system consists of digital signal processor, step motor, RF module and CCD camera. we used wireless RF module for movable command transmitting between robot and host PC. This robot go straight until recognize obstacle from input image that preprocessed by edge detection, converting, thresholding. And it could avoid the obstacle when recognize obstacle by line histogram intensity. Host PC measurement wave from various line histogram each 20 pixel. This histogram is (x, y) value of pixel. For example, first line histogram intensity wave from (0, 0) to (0, 197) and last wave from (280, 0) to (2n, 197. So we find uniform wave region and nonuniform wave region. The period of uniform wave is obstacle region. we guess that algorithm is very useful about moving robot for obstacle avoidance.

• Journal of Radiation Protection and Research
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• v.37 no.1
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• pp.25-34
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• 2012

To know which parameters were acceptable for achieving lowest radiation exposure to the patients and highest image quality at the diagnostic X-ray radiography, we measured the patient radiation dose and image quality in transmitted PACS (Picture Archiving and Communication System) at variable combinations of the added filters. As a result, the Dose Area Product (DAP: $mGy{\cdot}cm^2$) and Entrance Surface Doses (ESDs: $mGy$) was lowest at 1 mmAl + 0.2 mmCu and highest at 0 mmAl. The histogram of the image quality by transmitted PACS was not significantly different at variable combinations of exposure parameters on the MATLAB. In conclusion, this study can be helpful for expecting radiation dose-exposure and control exposure parameters for the diagnostic X-ray radiography.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2012.05a
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• pp.149-150
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• 2012

This paper presents a shot boundary detection method based on the global decision tree that allows for extraction of boundaries of high variations occurring due to camera breaks from frame difference values. For a start, difference values between frames are calculated through local X2-histogram and normalization. Next, the distances between difference values are calculated through normalization.

• Journal of the Korean Institute of Intelligent Systems
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• v.24 no.5
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• pp.504-511
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• 2014

This paper presents a hybrid recognition method, which is based on the nonlinear histogram equalization and the multidimensional intensity variation of an images. The nonlinear histogram equalization based on a adaptively modified function is applied to improve the quality by adjusting the brightness of the image. The multidimensional intensity variation by considering the a extent of 4-step changes in brightness between the adjacent pixels is also applied to reflect accurately the attributes of image. The statistical correlation that is measured by the normalized cross-correlation(NCC) coefficient, is applied to comprehensively measure the similarity between the images. The NCC is considered by the intensity variation of each 2-direction(x-axis and y-axis) image. The proposed method has been applied to the problem for recognizing the 50-face images of 40*40 pixels. The experimental results show that the proposed method has a superior recognition performances to the method without performing the histogram equalization, or the linear histogram equalization, respectively.

• Proceedings of the Korean Society of Computer Information Conference
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• 2014.01a
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• pp.103-104
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• 2014

본 논문에서는 범죄 행위중 하나인 흡연을 엘리베이터 내에서 행하는 범죄자를 추출하고자 한다. 추출 방법은 변형된 컬러-$X^2$ 히스토그램을를 이용하여 차이값을 추출하고 정규화를 수행한다. 그러고 나서 4-단계의 장면 전환 검출 알고리즘을 이용하여 연속적인 프레임들에서 장면 전환이 발생한 지점을 찾아낸다. 끝으로, 비디오에 저장된 대량의 영상에서 흡연 영상의 검색 및 추출을 위한 방법을 제시한다.

• Journal of the Korean Society of Radiology
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• v.11 no.7
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• pp.611-617
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• 2017

In this study, it was expected that long-term stability against external mechanical external force could be secured if the phosphor layer had ductility. In this study, a bendable $Gd_2O_2S:Tb$ sensitized paper was fabricated by screen printing method and the image uniformity was evaluated through RMS analysis and histogram analysis to investigate the effect of fatigue accumulation due to long-term external force and repetitive external force. As a result, the dominant pixel area is maintained constant and the relative standard deviation is less than 10% for the long-term external force. However, for the repetitive external force, the dominant pixel area is divided into three areas and the image uniformity is adversely affected. Based on these results, it is suggested that the curved surface detector can be applied by securing the mechanical stability against the existing radiation sensitized paper. However, further studies are needed to apply it to the flexible detector. As a result, flexible radiation sensitizers can be applied to various curved surfaces, and it is expected to be applicable to various fields such as nuclear medicine, medical treatment, and industrial fields in the future.

• Proceedings of the KSRS Conference
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• 2008.03a
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• pp.231-236
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• 2008

본 연구에서는 이진 변화탐지 방법상 요구되는 수동적인 자료처리 단계들을 모듈화하고 통합한 '이진 변화탐지 컴포넌트'를 개발하였으며, 대전 지역의 IKONOS 다중시계열 위성영상의 2개 연구지역에 적용함으로써 그 성능을 검증하였다. 개발된 컴포넌트는 ESRI의 ArcGIS 9.x 상에서 설치 및 실행되며, Visual Basic과 GIS 객체 라이브러리의 결합을 통해 구현되었다. 적용된 모델은 Im. J.(2007)의 연구에서 제시된 '캘리브레이션 기법을 이용한 자동 이진 변화탐지 모델'을 확장 적용한 것으로, 변화영상 히스토그램의 비정규분포를 고려한 누적 생산자 및 사용자 정확도 평가 기법이 최적 임계치 결정에 사용되었다. 다양한 변화탐지 기술들, ID, IR, NCIs, CVA, PCA와 ID, IR의 결합이 실험을 통해 비교 분석되었다. 실험 결과, 개선된 캘리브레이션 기법 적용을 통해 기존 기법보다 향상된 분류정확도를 얻었으며, PC1의 ID가 연구지역의 변화탐지 상에서 가장 우수한 분류 능을 보여주었다.

• Journal of the Korea Society of Computer and Information
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• v.13 no.1
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• pp.75-80
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• 2008

This paper proposes a method to detect scene change using global decision tree that extract boundary cut that have width of big change that happen by camera brake from difference value of frames. First, calculate frame difference value through regional X2-histogram and normalization, next, calculate distance between difference value using normalization. Shot boundary detection is performed by compare global threshold distance with distance value for two adjacent frames that calculating global threshold distance based on distance between calculated difference value. Global decision tree proposed this paper can detect easily sudden scene change such as motion from object or camera and flashlight.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.18 no.4
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• pp.457-467
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• 1993

One of the important statistical quantities for optical waves through random media is the probability distribution of irradiance. From phenomenological models, several distribution functions have been proposed. In this paper, irradiance data are obtained by computer simulation, and by comparing the proposed distribution functions with simulation data by the moment method, the histogram method, and the $x^2$-test, the validity of each distribution function is investigated.