• Title/Summary/Keyword: $a^*$ 값

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A fast block matching algorithm with adaptive search range (적응적 탐색범위를 사용한 블록정합 알고리듬)

  • 강문철;배황식;정정화
    • Proceedings of the IEEK Conference
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    • 2003.07e
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    • pp.1932-1935
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    • 2003
  • 본 논문에서는 MPEG-2, MPEG-4, H.263 등에서 블록정합을 위해 사용되는 움직임 추정(Motion Estimation) 기법에서 적응적 탐색 범위를 기존의 알고리듬에 적용시킴으로써 계산량을 줄이고 화질도 개선하는 방법을 제안한다 제안된 알고리듬은 먼저 이웃한 움직임 벡터(Motion Vector)의 위치를 이용하여 예상된 움직임 벡터를 찾고 이 예상된 움직임 벡터의 X, Y 값의 크기를 작은 값, 중간 값, 큰 값, 세 가지로 분류해서 탐색범위를 적응적으로 변화시켜 움직임 벡터가 있을 확률이 큰 범위를 집중적으로 찾는다 그리고 각 분류에서 작은 값일 때는 전역 탐색을 적용하고 큰 값일 때는 기존의 알고리듬을 적용시키고 중간 값 일 때는 3단계탐색 기법을 적용시켜 더 적합한 움직임 벡터를 찾도록 하였다. 그리고 작은 값 일 때 구해진 움직임 벡터의 SAD(Sum of Absolute Difference) 값과 이웃한 움직임 벡터의 SAD값을 비교해 국소점에 빠졌다고 판단이 되면 다시 탐색 범위를 조정해서 움직임 벡터를 구함으로써 국소점에 빠지는 경우를 줄였다.

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Threshold Selection Method in Gray Images Based on Interval-Valued Fuzzy Sets (구간값 퍼지집합을 이용한 그레이 영상에서의 임계값 선택방법)

  • Son, Chang-S.;Chung, Hwan-M.;Seo, Suk-T.;Kwon, Soon-H.
    • Journal of the Korean Institute of Intelligent Systems
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    • v.17 no.4
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    • pp.443-450
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    • 2007
  • In this paper, we propose a novel threshold selection method based on statistical information on gray-levels of given images and interval-valued fuzzy sets. In the proposed threshold selection method, the interval-valued fuzzy set is used to represent more definitely the relationship between a pixel and its belonging region, that is, the object and the background. Also the statistical information on gray-level is used to determine the rules and partitions of interval-valued fuzzy sets. To show the validity of the proposed method, we compared the performance of the proposed with those of conventional methods such as Otsu's method, Huang and Wang's method applied to 5 test images with various types of histograms.

A Study on depth analysis for S3D animation (S3D 애니메이션 제작을 위한 입체 값 분석 기술)

  • Kim, Sang-hoon;hwan, Moon suk
    • Journal of Digital Contents Society
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    • v.16 no.4
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    • pp.645-650
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    • 2015
  • In this paper, we propose the method for creating a stable stereoscopic 3D contents with the production guidelines by removing the excessive depth value and scene changes for high quality. We have developed a three-dimensional depth analysis tool for detecting the scene changes out of the production guidelines and the depth value changes excessively. The Scenes detected by depth analysis tool can be modified at the post production and it helps to make a stable stereoscopic 3D contents.

A Study on the Acquisition Method for Improving Performance of a GPS Receiver (GPS수신기 성능 개선을 위한 초기 동기 방식에 관한 연구)

  • 이용재;김기두
    • Proceedings of the IEEK Conference
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    • 1999.06a
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    • pp.90-93
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    • 1999
  • 본 논문에서는 캐리어의 동기가 맞았다는 가정 하에서 초기동기 직렬탐색 방식중의 하나인 Multiple Dwell 방식을 사용하여 각각의 초기동기 평균 획득시간과 분산 값을 비교하였다. 문턱값의 설정은 Maximum Likelihood 방식을 도입하여 MATLAB으로 이론값을 계산하고, 이를 SPW라는 시뮬레이션 툴로 모델링을 하여 시뮬레이션 값과 이론값을 비교 분석하였다. 신호 대 잡음비에 대한 Multiple Dwell 방식의 성능을 비교 분석한 결과. Dwell의 수가 증가할수록 성능은 개선되지만 Dwell의 수가 2일 때가 성능 개선 폭이 가장 컸고 Dwell의 수가 4이상에서는 개선 폭이 아주 작아짐 을 보였다.

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Estimation of Critical Threshold for Rejection in HMM Based Recognition Systems (HMM 기반의 인식시스템에서의 거절기능 수행을 위한 임계 문턱값 추정)

  • 김인철;진성일
    • The Journal of the Acoustical Society of Korea
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    • v.19 no.2
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    • pp.90-94
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    • 2000
  • In this paper, we propose an efficient method of estimating a critical threshold which is used to reject unreliable patterns in a HMM based recognition system. The rejection methods based on the anti-models which are formulated as the statistical hypothesis determine whether or not to accept an input pattern by comparing the likelihood ratio of HMM and anti-models to a critical threshold. It is quite difficult to fix a threshold for the probability of a HMM because the range of such probabilities varies severely depending on the chosen class model. We estimate the critical threshold, which is very class-dependent, using the likelihood scores for the training database. In our experiments, we applied the proposed estimating method of the threshold to the HMM based 3D hand gesture recognition system. We found that this method can be used successfully for rejecting unreliable input gestures regardless of the types of anti-models.

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Clinical study on the maxillofacial prosthodontic treatment using dental implant: Part I-Color stability of maxillofacial elastomeric materials (치과용 임플란트를 이용한 악안면 보철치료에 관한 임상적 연구 1부-악안면보철용 실리콘의 색안정성)

  • Jin, Tai-Ho;Bowley, John F.
    • The Journal of Korean Academy of Prosthodontics
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    • v.36 no.2
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    • pp.379-388
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    • 1998
  • 본 연구는 악안면보철용 실리콘의 색안정성을 연구하기 위하여 실리콘 재료로 MDX 4-4210 Silicone(Dow Coming. Midland, Mich.)과 A-2186(Factor II, Lakeside, Az)을 사용하고 Mars Violet. Golden Yellow, Red yellow, Raw Sienna등 4종의 색소(Factor II, Lakeside, Az)를 이용하여 시편을 제작한 후 1군은 섭씨5-55도에서 700회 thermocycling하였고, 2군은 10%의 비눗물(Ivory, Proctor & Gamble Inc,. Toronto, Ontario)에 담아 섭씨15-55도에서 700회 thermocycling하였다. 3군은 10%의 비눗물에 담아 75일간 실온에서 보관하였으며 4군은 실온의 암실에 75일간 보관하였다. 5군은 초여름인 6월 중순부터 75일간 햇볕이 잘드는 곳에 위치하였다. 이를 측색색차계(Model TC-6FX, Tokyo Denshoku Co., Japan)를 이용하여 측정하고 색변화를 연구한 결과 다음과 같은 결론을 얻었다. 1. $L^*$값의 경우 모든 실험군에서 대조군에 비해 유의하게 감소하였다. 2. $a^*$값의 경우 대부분의 실험군에서 증가하였으나 Raw sienna, Mars violet색소를 사용한 실험 3.4.5군의 MDX4-4210의 경우 감소하는 경향을 보였다. 3. $b^*$값은 실험1.2.3군의 경우 대부분 감소하였고 실험4.5.군의 경우에서 증가하였으나 3.4.5군의 경우에서 대부분 유의한 차이가 없었다. 4. ${\Delta}E$의 값은 실험군에서 대부분 감소하였으나 4군의 A-2186에서 증가하는 경향을 보였고 실험2군의 Red yellow, Mars violet을 사용한 MDX4-4210에서 비교적 큰 변화를 보였다. 5. $L^{\ast}$값과 a값의 변화량의 합은 A-2186의 경우에서 크게 나타났으나 ${\Delta}E$값의 변화량은 MDX4-4210에서 크게 나타났다. 6. $L^*$값의 변화량의 합은 실험4군에서 크게 나타났으며 $a^*$값은 1군에서, $b^*$값과 ${\Delta}E$값의 변화량의 합은 2군에서 크게 나타났다.

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Composite estimation type weighting adjustment for bias reduction of non-continuous response group in panel survey (패널조사에서 비연속 응답 그룹 편향 보정을 위한 복합가중값)

  • Choi, Hyunga;Kim, Youngwon
    • The Korean Journal of Applied Statistics
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    • v.32 no.3
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    • pp.375-389
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    • 2019
  • Sample attrition according to a long-term tracking reduces the representativeness of the sample data in a panel study. Most panel surveys in South Korea and other countries have prepared response adjustment weights in order to solve problems regarding representativeness due to sample attrition. In this paper, we divided the panel data into continuous response group and non-continuous response group according to response patterns and considered a weighting adjustment method to reduce the bias of the non-continuous response group. A simulation indicated that the proposed composite estimation type weighting method, which reflected the characteristics of non-continuous response groups, could be more efficient than other weighting methods in terms of reducing non-response bias. As a case study, the proposed methods are applied to the Korean Longitudinal Study of Ageing (KLoSA) data of the Korea Employment Information Service.

A Method for Estimating Local Intelligibility for Adaptive Digital Image Decimation (적응형 디지털 영상 축소를 위한 국부 가해성 추정 기법)

  • 곽노윤
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.4 no.4
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    • pp.391-397
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    • 2003
  • This paper is about the digital image decimation algorithm which generates a value of decimated element by an average of a target pixel value and a value of neighbor intelligible element to adaptively reflect the merits of ZOD method and FOD method on the decimated image. First, a target pixel located at the center of sliding window is selected, then the gradient amplitudes of its right neighbor pixel and its lower neighbor pixel are calculated using first order derivative operator respectively. Secondly, each gradient amplitude is divided by the summation result of two gradient amplitudes to generate each intelligible weight. Next, a value of neighbor intelligible element is obtained by adding a value of the right neighbor pixel times its intelligible weight to a value of the lower neighbor pixel times its intelligible weight. The decimated image can be acquired by applying the process repetitively to all pixels in input image which generates the value of decimated element by calculating the average of the target pixel value and the value of neighbor intelligible element.

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Study on the Effect of Emissivity for Estimation of the Surface Temperature from Drone-based Thermal Images (드론 열화상 화소값의 타겟 온도변환을 위한 방사율 영향 분석)

  • Jo, Hyeon Jeong;Lee, Jae Wang;Jung, Na Young;Oh, Jae Hong
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.40 no.1
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    • pp.41-49
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    • 2022
  • Recently interests on the application of thermal cameras have increased with the advance of image analysis technology. Aside from a simple image acquisition, applications such as digital twin and thermal image management systems have gained popularity. To this end, we studied the effect of emissivity on the DN (Digital Number) value in the process of derivation of a relational expression for converting DN to an actual surface temperature. The DN value is a number representing the spectral band value of the thermal image, and is an important element constituting the thermal image data. However, the DN value is not a temperature value indicating the actual surface temperature, but a brightness value indicating high and low heat as brightness, and has a non-linear relationship with the actual surface temperature. The reliable relationship between DN and the actual surface temperature is critical for a thermal image processing. We tested the relationship between the actual surface temperature and the DN value of the thermal image, and then the radiation adjustment was performed to better estimate actual surface temperatures. As a result, the relation graph between the actual surface temperature and the DN value similarly show linear pattern with the relation graph between the radiation-controlled non-contact thermometer and the DN value. And the non-contact temperature after adjusting the emissivity was closer to the actual surface temperature than before adjusting the emissivity.

Design of White Balance Correction Processor for High Resolution Full Color LED Display System (고해상도 천연색 LED 디스플레이 시스템을 위한 흰색 보정프로세서의 설계)

  • Lee, Jong-Ha;Ko, Duck-Young
    • 전자공학회논문지 IE
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    • v.46 no.3
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    • pp.12-18
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    • 2009
  • In this paper, we developed white balance correction processor for Full Color LED Display System which could be display uniformity color and soft light by adjusting brightness of red, green, blue pixel, individually. This processor correct brightness by calculating operating current of each pixel(red, green, blue LED) on the basis of characteristic curve of LED device when we named "a" as a specific characteristic value, "b" as a brightness correction value according to using time, "X" as a operating current value, and "Y" as brightness value. As the results, we solved the reduction problem of brightness for long used LED devices, according to increase entire mean of brightness value by adjusting "b" value from the brightness characteristic function.