• 대한방사선기술학회지:방사선기술과학
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• 제44권2호
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• pp.85-90
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• 2021

The purpose of this study is to consider usefulness of using AEC mode and importance of patient center location in L-spine lateral radiography by comparing dose and image quality according to the change of patient center location with using AEC mode or not. In this study, guide wire is attached to the human body phantom's lumbar spine and the lead ruler is attached to the bottom of the wall detector to find out center location in detector. ESD, mAs, and EI were selected as dose factors, and image quality was compared through SNR. With the lumbar spine located center of the detector, dose factors and image quality were compared according to using AEC mode or not. Afterwards, phantom moved 4 cm and 8 cm back and forth and compared dose factors and image quality. The exposure parameters were 85 kVp, 320 mA, x-ray field size 10×17 inch, and the distance between the center X-ray and the detector was fixed at 100 cm. The center X-ray was perpendicular to the fourth lumbar spine and the only bottom AEC chamber was used. All data were analyzed by independent t-test and ANOVA. As a result of this study, with AEC when the center is matched, ESD was 1.31±0.01 mGy, without AEC was 2.12±0.01 mGy. SNR was shown to be 22.81±1.83, and 23.44±1.87 respectively. When the phantom's center moves 4 cm, 8 cm forward, and 4 cm, 8 cm backward, ESD were 1.09±0.004 mGy, 0.32±0.003 mGy, 1.19±0.017 mGy, 1.11±0.006 mGy respectively, SNR were 18.29±0.60 dB, 11.11±0.22 dB, 18.98±0.80 dB, 17.71±0.82 dB. Using AEC in L-spine lateral radiography reduced ESD by 38%, EI by 35%, and mAs by 38%, without any difference in SNR(p<0.05). When the phantom's center moves 4 cm, 8 cm forward, and 4 cm, 8 cm backward, ESD was decreasing each 16%, 75%, 9%, 15%, EI was decreasing each 14%, 77%, 15%, 20%, mAs was decreasing each 15% 75% 9%, 15%. SNR was decreasing each 19%, 51%, 17%, 22%.

• 한국멀티미디어학회논문지
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• 제19권2호
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• pp.240-251
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• 2016

This paper presents a real-time indoor location and pose estimation method that utilizes simple artificial markers and image analysis techniques for the purpose of warehouse automation. The conventional indoor localization methods cannot work robustly in warehouses where severe environmental changes usually occur due to the movement of stocked goods. To overcome this problem, the proposed framework places artificial markers having different interior pattern on the predefined position of the warehouse floor. The proposed algorithm obtains marker candidate regions from a captured image by a simple binarization and labeling procedure. Then it extracts maker interior pattern information from each candidate region in order to decide whether the candidate region is a true marker or not. The extracted interior pattern information and the outer boundary of the marker are used to estimate location and heading angle of the localization system. Experimental results show that the proposed localization method can provide high performance which is almost equivalent to that of the conventional method using an expensive LIDAR sensor and AMCL algorithm.

• 디지털산업정보학회논문지
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• 제8권2호
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• pp.95-104
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• 2012

In this paper, an estimation of person height and 3D location of a moving person by using the pan/tilt-embedded stereo tracking system is suggested and implemented. In the proposed system, face coordinates of a target person is detected from the sequential input stereo image pairs by using the YCbCr color model and phase-type correlation methods and then, using this data as well as the geometric information of the stereo tracking system, distance to the target from the stereo camera and 3-dimensional location information of a target person are extracted. Basing on these extracted data the pan/tilt system embedded in the stereo camera is controlled to adaptively track a moving person and as a result, moving trajectory of a target person can be obtained. From some experiments using 780 frames of the sequential stereo image pairs, it is analyzed that standard deviation of the position displacement of the target in the horizontal and vertical directions after tracking is kept to be very low value of 1.5, 0.42 for 780 frames on average, and error ratio between the measured and computed 3D coordinate values of the target is also kept to be very low value of 0.5% on average. These good experimental results suggest a possibility of implementation of a new stereo target tracking system having a high degree of accuracy and a very fast response time with this proposed algorithm.

• 정보처리학회논문지:소프트웨어 및 데이터공학
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• 제4권12호
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• pp.585-588
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• 2015

사물이 실제로 움직이는 속도와 다양한 위치를 정확하게 인식하여 정확하게 3차원 영상정보로 표현하는 기술개발 시도는 무선센서를 활용하여 다양한 분야에서 응용할 수 있다. 3차원 위치 및 속도센서를 조합하여 이동 물체의 위치를 추적하는 시도는 동작의 정확성과 교정을 목적으로 하는 스포츠, 건강관리 분야 등에서 동영상 디스플레이 및 분석 기술과 접목하여 다양한 분석 정보를 제공할 수 있는 특징을 가지고 있다. 본 논문에서는 9축-센서로부터 수집되는 정보를 데이터베이스로 구축하고 이를 웹과 앱의 3차원 공간에서 모니터링할 수 있는 3D 모션 디스플레이를 개발하였다.

• 한국정밀공학회:학술대회논문집
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• 한국정밀공학회 1995년도 추계학술대회 논문집
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• pp.423-426
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• 1995

An image processing algorithm is developed in order to recognize the type of cars, the position of a number plate and the characters on the plate. To recognize the type af cars, comparison of two images is used. One has a car image, the other is just a background image without car. After that recognition, a vertical line filter is used to find the location of the plate. Finally the similarity method is used to recognize the numbers on the plates.

• Journal of Magnetics
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• 제20권4호
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• pp.381-386
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• 2015

The purpose of this study is to improve diagnostic efficiency of clinical study by setting up guidelines for more precise examination with a comparative analysis of signal intensity and image distortion depending on the location of X axial of object when performing magnetic resonance diffusion weighted imaging (MR DWI) examination. We arranged the self-produced phantom with a 45 mm of interval from the core of 44 regent bottles that have a 16 mm of external diameter and 55 mm of height, and were placed in 4 rows and 11 columns in an acrylic box. We also filled up water and margarine to portrait the fat. We used 3T Skyra and 18 Channel Body array coil. We also obtained the coronal image with the direction of RL (right to left) by using scan slice thinkness 3 mm, slice gap: 0mm, field of view (FOV): $450{\times}450mm^2$, repetition time (TR): 5000 ms, echo time (TE): 73/118 ms, Matrix: $126{\times}126$, slice number: 15, scan time: 9 min 45sec, number of excitations (NEX): 3, phase encoding as a diffusion-weighted imaging parameter. In order to scan, we set b-value to $0s/mm^2$, $400s/mm^2$, and $1,400s/mm^2$, and obtained T2 fat saturation image. Then we did a comparative analysis on the differences between image distortion and signal intensity depending on the location of X axial based on iso-center of patient's table. We used "Image J" as a comparative analysis programme, and used SPSS v18.0 as a statistic programme. There was not much difference between image distortion and signal intensity on fat and water from T2 fat saturation image. But, the average value depends on the location of X axial was statistically significant (p < 0.05). From DWI image, when b-value was 0 and 400, there was no significant difference up to $2^{nd}$ columns right to left from the core of patient's table, however, there was a decline in signal intensity and image distortion from the $3^{rd}$ columns and they started to decrease rapidly at the $4^{th}$ columns. When b-value was 1,400, there was not much difference between the $1^{st}$ row right to left from the core of patient's table, however, image distortion started to appear from the $2^{nd}$ columns with no change in signal intensity, the signal was getting decreased from the $3^{rd}$ columns, and both signal intensity and image distortion started to get decreased rapidly. At this moment, the reagent bottles from outside out of 11 reagent bottles were not verified from the image, and only 9 reagent bottles were verified. However, it was not possible to verify anything from the $5^{th}$ columns. But, the average value depends on the location of X axial was statistically significant. On T2 FS image, there was a significant decline in image distortion and signal intensity over 180mm from the core of patient's table. On diffusion-weighted image, there was a significant decline in image distortion and signal intensity over 90 mm, and they became unverifiable over 180 mm. Therefore, we should make an image that has a diagnostic value from examinations that are hard to locate patient's position.

• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 2007년도 춘계학술대회 논문집
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• pp.251-256
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• 2007

FY-2C 위성은 2004년 10월 발사되어 동경 105도 에 서 운영 중인 중국의 정지 궤도 기상위성 이며 관측 영상은 한반도 지역을 포함하고 있다. 현재 FY-2C S-VISSR2.0[l]에 대한 Navigation 알고리즘이 공개되어 있지 않으며，Navigation을 위하여 S-VISSR2.0에 포함되어 있는 Simplified Mapping Block 정보를 사용하여야 한다. Simplified Mapping Block은 5도 간격의 정보만을 제 공하므로 관측 지 역 의 모든 좌표에 대한 Navigation 정보를 얻기 위해서는 보간볍을 사용하여야 한다. 그러나 보간법은 기준 점에서 멀어질수록 오차가 크게 나타날 수 있다. 따라서 본 논문에서는 모든 좌표에 대한 Navigation 정보를 얻을 수 있는 MTSAT Image Navigation 알고리즘을 FY-2C S-VISSR2.0에 적용하여 Simplified Mapping Block과의 차이를 분석하였다. 분석 방법은 Simplified Mapping Block과 MTSAT Image Navigation[2] 알고리즘을 5도 간격의 격자 점(위경도)에서 Column 및 Line 값 비교， Geo-location된 영상의 품질 비교，WDB2 Map Data의 Coast Line과의 비교를 수행하였다. 분석 결과 격자 점에서의 Column, Line 값은 0.5 이내의 차이 값을 나타내었다. 그리고 Geo-location된 영상 비교에서는 격자 점 주변에서 영상의 차이가 없으나 격자 점에서 멸어질수록 영상의 품질은 MTSAT Image Navigation 알고리즘으로 생성한 영상이 더 우수하였다. WDB2 Map Data의 Coast Line과의 비교에서 오차는 동일하게 발생하였으며，영상의 Column 축에 대한 오차는 평균 1.847 Pixel, 최대 6 Pixel, 최소 oPixel 이며， Line 축에 대한 오차는 평균 0.135 Pixel, 최대 4 Pixel, 최소 0 Pixel을 나타내었다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제13권10호
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• pp.5197-5218
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• 2019

Large-scale retrieval algorithm is problem for visual analyses applications, along its research track. In this paper, we propose a high-efficiency region division-based image retrieve approaches, which fuse low-level local color histogram feature and texture feature. A novel image region division is proposed to roughly mimic the location distribution of image color and deal with the color histogram failing to describe spatial information. Furthermore, for optimizing our region division retrieval method, an image descriptor combining local color histogram and Gabor texture features with reduced feature dimensions are developed. Moreover, we propose an extended Canberra distance method for images similarity measure to increase the fault-tolerant ability of the whole large-scale image retrieval. Extensive experimental results on several benchmark image retrieval databases validate the superiority of the proposed approaches over many recently proposed color-histogram-based and texture-feature-based algorithms.

• 농촌계획
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• 제21권2호
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• pp.63-77
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• 2015

Improve the rural views of the Government and the municipalities with the intention of rural landscape planning. However, rural scenery evaluation of landscape types and element categories, landscape scenes, such as the valuation of resources selected, form a coherent system and ecological point of view is not only a Visual perspective of evaluation, or evaluation is made. This study evaluates the rural landscape through the rural landscape for rurality is implemented can explain the image. Rural amenity 100 represented the rural landscape in rurality with photos of photos, and scenes, photos, location-based rural Vista rurality landscapes drawn components. Selected landscape photography scenic landscapes in the u.s. survey and image vocabularies through surveys is representative of the landscape in rurality of each Vista location-specific photos and images began extracted factors. As a result, the Distant view is a town and village in the rolling hills of the surrounding environment is an image behind the Vista Skyline, Farmland Rural village forests, Behind the hills, Individual housing roof, Housing arrangement, The number of household includes landscape components. Factor analysis 'openness', 'intimacy', 'activity', 'complexity', 'safety' was down to five factors, such as a description of the overall factors that force was 66.45 percent. Middle distance view is close to being out of town houses and village environment, an image in the skyline hills Vista, farmlands, village forests, rolling hills, behind the scenes of the housing component of the neck, the sperm will honor an individual factor analysis results are 'intimacy', 'safety', 'openness', 'specificity', 'complexity' five factors the whole description of the capacity factors compared to 67.24 percent. Close-range view is mainly in Vista village embraced the individual elements and an image of a harmonious location in the surroundings of the sperm, individual houses, fences, gates, courtyard, Garden, garage, agricultural facilities, including, but not limited to, factors assay but an 'intimacy', 'complexity', 'safety', 'activity', 'openness' five factors, such as a description of the overall factors that force was 65.29%. This research seeks to determine the extent to which rurality of rural landscape Vista by location attributes and elements and representative officer in photo selection and rurality to extract the image. To date, followed by a comprehensive study, which was presented through the readjustment could not overlook the Visual elements. The future rural development officer for the evaluation of rural landscape classification and quantitative and objective assessment will have to come up with ways to do.

• 한국항행학회논문지
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• 제16권2호
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• pp.394-400
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• 2012

SURF(Speeded Up Robust Features)는 다양한 상태 변화에 강인한 기술자 추출 방법으로 객체 인식과 같은 분야에서 유용하게 사용되는 알고리즘이다. 이 알고리즘은 대표적인 특징점 추출 알고리즘인 SIFT(Scale Invariant Feature Transform)와 비슷한 성능을 보이면서도 수행 시간이 훨씬 빠르다는 장점이 있다. 하지만 이러한 기술자들은 회전 불변한 특징 보장을 위해서, 추출한 특징점 간의 위치 정보를 고려하지 않는다. 또한, 원본 영상을 흑백 영상으로 변환하여 사용하기 때문에, 원본 이미지의 색상 정보도 이용하지 않는다. 본 논문에서는 특징점들 간의 상대적인 위치 정보 및 색상 정보를 이용하여 SURF 기술자의 정합 성능을 개선하는 방안을 제안한다. 상대적인 위치 정보는 특징점들의 중심을 연결하는 선분과 특징점 중심에서부터 생성되는 orientation 선분 사이의 각을 기반으로 한다. 색상 정보의 경우 각 특징점이 포함하고 있는 영역에 대해 color histogram을 생성하여 사용한다. 실험을 통하여 제안된 기법의 성능 개선을 보인다.