• Title/Summary/Keyword: L-a-b coordinate

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

  • Kim, Yong-Gi
    • Journal of Astronomy and Space Sciences
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    • v.17 no.1
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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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Presentation of Target Color with Extraction Variables in Natural Dyes Extraction (천연색소 추출공정에서 추출특성에 따른 목표색의 재현)

  • Tak, Eun-Soo;Bae, Min-Woo;Kang, Seung-Hyeon;Bae, You-Jin;Kang, Su-Yeon;Jung, Soo-Kyung;Hong, In-Kwon
    • Applied Chemistry for Engineering
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    • v.21 no.5
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    • pp.559-563
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    • 2010
  • The representation of color with natural dyes is closely related with the modern well-being life. This study is focused on the representation of target color of the blue, yellow, and red color system, these color sources were originated from the green tea, gardenia, and black rice respectively. The quantitative numerical value of brightness (L), color coordinates (a, b) were designated for the target color, the optimum color nearest to the target value was extracted with the solvent pH, temperature, and extraction time. The longer the extraction time had more thickening color in case of the gardenia. The L-a-b coordinate of extracted color were analyzed with the color difference meter and compared with the target color. The experimental variables were optimized to extract the color of the smallest ${\Delta}E$ with the target color. As a result, the CIE standard value was proposed and the color was represented.

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

  • Kim, Jeong-Heui;Son, Seok-Jun;Lim, Young-Cheol;Kim, Tae-Gon;Ryoo, Young-Jae;Kim, Eui-Sun
    • Proceedings of the KIEE Conference
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    • 2001.07d
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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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Design of Visual Servo Controller using Color Coordinate System Transformation in Mobile Robot (컬러 좌표계 변환을 이용한 이동로봇의 시각 서보 제어기의 설계)

  • 노창균;이기철;이양희;박민용
    • Proceedings of the IEEK Conference
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    • 1999.11a
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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
    • Proceedings of the IEEK Conference
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    • 2000.07b
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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
    • Proceedings of the KSRS Conference
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    • 2004.10a
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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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Color space's conversion for the color vision deficiency (적록 색각 이상자를 위한 색 공간 변환)

  • Kim, Yong-Geun
    • Journal of Korean Ophthalmic Optics Society
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    • v.10 no.1
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    • pp.1-8
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    • 2005
  • Color vision of color vision deficiency is possible using Color space's conversion of color image. Color vision of the RG-Color vision deficiency is possible by the case to maximize the G channel(+100), the case to minimize the G channel(-100), the case to maximize the R channel(+100), the case to convert the R channel to the yellow(Y) channel that is the value of $(-)b^*$ coordinate in CIE $L^*a^*b^*$ color space, the case to separate with only the B channel and the G channel and to appear by the light and darkness difference again, and the case to receive the image only by the light and darkness after separation of saturation and conversion of RGB channel.

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

  • Park, Hae-Kyoon;Chung, Chae-Heon
    • The Journal of Korean Academy of Prosthodontics
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    • v.26 no.1
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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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Cable Color Recognition Using a Back-Propagation Neural Network (역전파 신경망을 이용한 케이블의 색깔인식)

  • Lee, Moon-Kyu;Yun, Chan-Kyun
    • IE interfaces
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    • v.8 no.1
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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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