• 제목/요약/키워드: L-a-b coordinate

검색결과 39건 처리시간 0.028초

$T_{b}$-$N_{HI}$ CORRELATION IN THE GALACTIC PLANE

  • Kim, Yong-Gi
    • Journal of Astronomy and Space Sciences
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    • 제17권1호
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    • pp.33-38
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    • 2000
  • Synchrotron emission at 408 MHz and HI column density have been used to find an evidence for the relationship between the Galactic magnetic field and the gas density. The observational data of the brightness temperature and HI column density, $T_b(408)\;and \;N_{HI}$, near the galactic plane between galactic longitudes $l=62^{circ}\;and\;l=250^{\circ}$ show a clear linear correlation of $T_b(408)=A(l,b)+B\;N_{HI}$, where A(l, b)is a background and forground radiation at the galactic coordinate. We found $(1.4{pm}0.3)10^{-21}$ for the slope B, which describes the strength of the syncrotron radiation from the HI cloud, and agrees with the value for the MIlky Way obtained by Beuermann et al. (1985). We conclude therefore that a well defined nonthermal corelates with the HI column density originating from this HI cloud.

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천연색소 추출공정에서 추출특성에 따른 목표색의 재현 (Presentation of Target Color with Extraction Variables in Natural Dyes Extraction)

  • 탁은수;배민우;강승현;배유진;강수연;정수경;홍인권
    • 공업화학
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    • 제21권5호
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    • pp.559-563
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    • 2010
  • 천연색소를 이용한 컬러의 재현은 현대의 웰빙 생활과 밀접한 연관성을 갖게 된다. 이 연구는 일상생활에서 자주 쓰이는 녹색 계, 황색 계, 그리고 적색 계의 컬러를 자연 상의 녹차, 치자, 흑미를 색소원으로 하여 목표 색을 설정하였다. 목표색의 명도(L), 색 좌표(a, b)의 정량적 수치 값을 지정하고 추출용매의 물성을 조절함으로써 목표 색에 가장 접근하는 색을 추출하여 표현하였다. 색소추출 공정에서 용매의 pH, 추출온도, 추출시간이 변수로 설정되었다. 치자의 경우 추출시간이 길수록 진한색이 추출되었다. 추출색소는 색차계를 이용해 색의 L-a-b좌표를 측정하여 목표 색과 비교하였다. 실험조건을 최적화함으로써 목표 색과 가장 색차 값(${\Delta}E$)이 적은 녹색, 황색, 적색의 CIE 기준 값을 제시하고 이 좌표에 맞는 색을 표현하였다.

MR센서를 이용한 실외형 자율이동 로봇의 퍼지 조향제어기 개발 (Development of Fuzzy Streering Controller for Outdoor Autonomous Mobile Robot with MR sensor)

  • 김정희;손석준;임영철;김태곤;유영재;김의선
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 2001년도 하계학술대회 논문집 D
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    • pp.2365-2368
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    • 2001
  • This paper describes a fuzzy steering controller for an autonomous mobile robot with MR sensor. Using the magnetic field($B_{x}$, $B_{y}$, $B_{z}$) obtained from the MR sensor, we designed fuzzy controller for driving on the road center. Fuzzy rule base was built to magnetic field($B_{x}$, $B_{y}$, $B_{z}$). To develop an autonomous mobile robot simulation program, we have done modeling MR sensor, dynamic model of mobile robot and coordinate transformation. A computer simulation of the robot (including mobile robot dynamics and steering) was used to verify the steering performance of the mobile robot controller using the fuzzy logic. Good results were obtained by computer simulation. So, we confirmed the robustness of the proposed fuzzy controller by computer simulation. Also, we know that proposed control algorithm was applied to real autonomous mobile robot.

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컬러 좌표계 변환을 이용한 이동로봇의 시각 서보 제어기의 설계 (Design of Visual Servo Controller using Color Coordinate System Transformation in Mobile Robot)

  • 노창균;이기철;이양희;박민용
    • 대한전자공학회:학술대회논문집
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    • 대한전자공학회 1999년도 추계종합학술대회 논문집
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    • pp.629-632
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    • 1999
  • In this paper, color coordinate system transformation based visual servo controller has been considered. Mobile robot always has a position error and an orientation error resulted from wheel slipping etc.. Even more, the errors have accumulative properties. So feedback from environments is important. In this paper, by using color model faster land mark extraction can be achieved. And the global position and the orientation of mobile robot can be known by only two land marks positions in image coordinate system. Finally, the adoption of visual information in path tracking problem makes visual servo control.

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Design of Visual Servo Controller using Color Coordinate System Transformation in Mobile Robot

  • Noh, Chang-Kyun;Park, Mignon
    • 대한전자공학회:학술대회논문집
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    • 대한전자공학회 2000년도 ITC-CSCC -2
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    • pp.591-595
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    • 2000
  • In this paper color coordinate system transformation based visual servo controller has been considered Mobile robot always has a position error and an orientation error resulted from wheel slipping etc.. Even more, the errors have accumulative properties. So feedback from environments is important. In this paper by using color model faster land mark extraction can be achieved. And the global position and the orientation of mobile robot can be known by only two land mark positions in image coordinate system. Finally, the adoption of visual information in path tracking problem makes visual servo control.

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A STUDY ON THE GENERATION OF EO STANDARD IMAGE PRODUCTS: SPOT

  • JUNG HYUNG-SUP;KANG MYUNG-HO;LEE YONG-WOONG;LEE HO-NAM;WON JOONG-SUN
    • 대한원격탐사학회:학술대회논문집
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    • 대한원격탐사학회 2004년도 Proceedings of ISRS 2004
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    • pp.216-219
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    • 2004
  • In this study, the concept and techniques to generate the level lA, lB and 2A image products have been reviewed. In particular, radiometric and geometric corrections and bands registration used to generate level lA, lB and 2A products have been focused in this study. Radiometric correction is performed to take into account radiometric gain and offset calculated by compensating the detector response non-uniformity. And, in order to compensate satellite altitude, attitude, skew effects, earth rotation and earth curvature, some geometric parameters for geometric corrections are computed and applied. Bands registration process using the matching function between a geometry, which is called 'reference geometry', and another one which is corresponds to the image to be registered is applied to images in case of multi-spectral imaging mode. In order to generate level-lA image products, a simple radiometric processing is applied to a level-0 image. Level-lB image has the same radiometry correction as a level-lA image, but is also issued from some geometric corrections in order to compensate skew effects, Earth rotation effects and spectral misregistration. Level-2A image is generated using some geo-referencing parameters computed by ephemeris data, orbit attitudes and sensor angles. Level lA image is tested by visual analysis. The difference between distances calculated level 1 B image and distances of real coordinate is tested. Level 2A image is tested Using checking points.

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적록 색각 이상자를 위한 색 공간 변환 (Color space's conversion for the color vision deficiency)

  • 김용근
    • 한국안광학회지
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    • 제10권1호
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    • pp.1-8
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    • 2005
  • 색각 이상자의 색지각은 색 이미지의 색 공간 변환을 사용하여 가능하다. 적록 색각이상자에게, G채널를 극대화(+100)한 경우, G채널를 최소화(-100)한 경우, R채널만 극대화(+100)한 경우, R 채널을 CIE $L^*a^*b^*$ 색 공간에서 $b^*$ 좌표의 (-)값인 황색(Y) 채널로 변환 시킨 경우, B채녈(청)과 G채널(록)로 만 분리하고 다시 명암차로 나타낸 경우, RGB 채널 변환 및 채도를 분리시킨 후 명암만으로 이미지를 얻는 경우 등에 의해 색지각이 가능하다.

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한국인 자연치의 색에 관한 연구 (A Study on the Color of Korean Natural Teeth)

  • 박해균;정재헌
    • 대한치과보철학회지
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    • 제26권1호
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    • pp.185-196
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    • 1988
  • The purpose of this investigation was to analyze the color of natural teeth by means of the OFC-1001 DP colorimeter which could measure in Adams Coordinate System (L,a,b system). The subjects were the 164 persons (82 men and 82 women) ranged from the teen to the sixtieth who had come to infirmary of dental college, Chosun University. The colors of incisal third, middle third and cervical third of maxillary right incisor, maxillary right canine and maxillary right second premolar were examined after the teeth were cleaned, polished and dried. The data were analyzed statistically by means of SPSS (Statistical Package For the Social Science). The results were as follows. 1. The means of L(lightness), a (red chromaticity), b (yellow chromaticity) of all teeth were measured (Table 2,3,4). 2. The color of teeth was yellowish-gray or bluish-gray. 3. The L value and b value of the cervical third was greater than those of the incisal and middle third. 4. The L value of maxillary 2nd premolar was greater than those of maxillary incisor md maxillay canine. 5. The a & b values of maxillary canine were greater than those of maxillary incisor and maxillary 2nd premolar. 6. The average values of L,a,b of teeth between male and female were not significant. 7. The L values of teeth were decreasing and the b values of teeth were increasing as the age was increased, but there was no corelation between the a values and aging.

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역전파 신경망을 이용한 케이블의 색깔인식 (Cable Color Recognition Using a Back-Propagation Neural Network)

  • 이문규;윤찬균
    • 산업공학
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    • 제8권1호
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    • pp.5-13
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    • 1995
  • Automated vision inspection has become a vital part of computer related industries. Most of the existing inspection systems mainly utilize black and white images. In this paper, we consider an application of automated vision inspection in which cable color has to be recognized in order to detect the quality status of assembled wire harness. A back-propagation neural network is proposed to classify seven different cable colors. To represent a single point in image space, we use the ($L^*,\;a^*,\;b^*$) model which is one of commonly used color-coordinate systems in image processing. After training the neural network with ($L^*,\;a^*,\;b^*$) data obtained from color image, we tested its performance. The results show that the neural network is able to classify cable colors with high performance.

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