• 제목/요약/키워드: color distribution

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디지털 영상에서 무채색 영역과 모집단을 이용한 조명광원의 분광방사 추정 (Estimation of the Spectral Power Distribution of Illumination for Color Digital Image by Using Achromatic Region and Population)

  • 곽한봉;서봉우;이철회;하영호;안석출
    • 융합신호처리학회논문지
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    • 제2권2호
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    • pp.39-46
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    • 2001
  • 본 논문에서 우리는 3밴드 이미지로부터 광원의 분광 방사 에너지 분포를 추정 할 수 있는 새로운 방법을 제안한다. 광원은 표면 반사(Ο(λ))에 대응하는 최대 무채색 영역(L(λ))의 반사되는 분광 방사 에너지 분포에 의해 추정된다. 3밴드 이미지로부터 최대 무채색 영역의 분광 방사 에너지 분포를 획득하기 위하여 수정된 그레이월드가정 알고리즘을 채택했다. 그리고 최대 표면 반사는 무채색 모집단으로 주성분 분석 방법을 사용해서 추정을 하였다. 무채색 모집단은 먼셀 컬러 색표에서 문턱값 보다 낮은 크로마 벡터를 사용해서 만들었다. 분리된 무채색 모집단의 제1에서 제3차까지의 누적 기여율은 약 99.75%이다. 무채색 모집단에 의해 광원의 분광 방사 에너지 분포의 재구성 그리고 여러 가지 광원 하에서 획득된 3밴드 디지털 이미지는 원본과 재현된 광원의 분광 방사 에너지 분포를 RMSE에 의해 평가하고 실험하였다.

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FPD 화상특성 평가시스템 개발 (Development of Analysis System for Display Characters of FPD)

  • 송준엽;박화영;김현종;정연욱;김용래
    • 한국정밀공학회:학술대회논문집
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    • 한국정밀공학회 2004년도 추계학술대회 논문집
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    • pp.335-338
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    • 2004
  • In this study has developed analysis system for automatic inspection of FPD(Flat Panel Display) characteristic, such as brightness, view angle, color ratio in the manufacturing process. Developed system consists of inspection-sensor part, acquiring a data by 3-CCD Color CCD camera and Inspection-stage part, driving a FPD holder to rotation and tilt direction. In experiment results, we could have ensured easily brightness distribution, available view angle, color reproduce and could expect to improve the quality, productivity, and yield.

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Real Time Road Lane Detection with RANSAC and HSV Color Transformation

  • Kim, Kwang Baek;Song, Doo Heon
    • Journal of information and communication convergence engineering
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    • 제15권3호
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    • pp.187-192
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    • 2017
  • Autonomous driving vehicle research demands complex road and lane understanding such as lane departure warning, adaptive cruise control, lane keeping and centering, lane change and turn assist, and driving under complex road conditions. A fast and robust road lane detection subsystem is a basic but important building block for this type of research. In this paper, we propose a method that performs road lane detection from black box input. The proposed system applies Random Sample Consensus to find the best model of road lanes passing through divided regions of the input image under HSV color model. HSV color model is chosen since it explicitly separates chromaticity and luminosity and the narrower hue distribution greatly assists in later segmentation of the frames by limiting color saturation. The implemented method was successful in lane detection on real world on-board testing, exhibiting 86.21% accuracy with 4.3% standard deviation in real time.

자외선 스펙트럼을 이용한 별의 표면온도 결정 (DETERMINATION OF STELLAR SURFACE TEMPERAURE USING ULTRAVIOLET SPECTRA)

  • 강영운;지나현;한미려;최영준;한원용;이우백
    • Journal of Astronomy and Space Sciences
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    • 제15권1호
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    • pp.91-100
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    • 1998
  • 자외선 영역에서 색지수와 유효온도의 상관관계를 구하기 위한 pilot project 로 25개의 표준상태에 대하여 유효온도와 색지수를 산출하였다. 유효온도는 자외선 영역의 IUE 저분산 스펙트럼의 에너지 분포 곡선을 Kurucx 모델과 비교하여 산출하였고, 자외선 색지수는 IUE 저분산 스펙트럼의 플럭스를 $300{\AA}$ 단위로 적분하여 등급으로 환산하여 산출하였다. 자외선 영역으 상관관계는 가시관선 영역의 상관관계와 유사한 형태로 나타났다.

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넓은 실내 공간에서 반복적인 칼라패치의 6각형 배열에 의한 이동로봇의 위치계산 (Mobile Robot Localization Based on Hexagon Distributed Repeated Color Patches in Large Indoor Area)

  • 진홍신;왕실;한후석;김형석
    • 제어로봇시스템학회논문지
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    • 제15권4호
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    • pp.445-450
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    • 2009
  • This paper presents a new mobile robot localization method for indoor robot navigation. The method uses hexagon distributed color-coded patches on the ceiling and a camera is installed on the robot facing the ceiling to recognize these patches. The proposed "cell-coded map", with the use of only seven different kinds of color-coded landmarks distributed in hexagonal way, helps reduce the complexity of the landmark structure and the error of landmark recognition. This technique is applicable for navigation in an unlimited size of indoor space. The structure of the landmarks and the recognition method are introduced. And 2 rigid rules are also used to ensure the correctness of the recognition. Experimental results prove that the method is useful.

Fluorescent Silk Fibroin Nanoparticles Prepared Using a Reverse Microemulsion

  • Myung, Seung-Jun;Kim, Hun-Sik;Kim, Yeseul;Chen, Peng;Jin, Hyoung-Joon
    • Macromolecular Research
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    • 제16권7호
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    • pp.604-608
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    • 2008
  • Color dye-doped silk fibroin nanoparticles were successfully fabricated using a microemulsion method. An aqueous silk fibroin solution was prepared by dissolving cocoons (Bombyx mori) in a concentrated lithium bromide solution followed by dialysis. A color dye solution was also mixed with the aqueous silk fibroin solution. The surfactants used for the microemulsion were then removed by methanol and ethanol, yielding color dye-doped silk fibroin nanoparticles, approximately 167 nm in diameter. The secondary structure of the nanoparticles showed a $\beta$-sheet conformation, as characterized by Fourier transform infrared spectroscopy. The morphology of the nanoparticles was determined by field emission scanning electron microscopy, transmission electron microscopy and atomic force microscopy, and their size and size distribution were measured by dynamic light scattering. The color dye-doped silk fibroin nanoparticles were examined by confocal laser scanning microscopy.

천정 부착 칼라 패치 배열을 이용한 이동로봇의 자기위치 인식 (Localization for Mobile Robot Navigation using Color Patches Installed on the Ceiling)

  • 왕실;진홍신;마이클 스트르젤레키;김형석
    • 제어로봇시스템학회논문지
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    • 제14권2호
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    • pp.156-160
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    • 2008
  • A localization system to estimate the position as well as movement direction of mobile robots is proposed in this paper. This system implements a camera fixed on a robot and color patches evenly distributed and mounted on the planar ceiling. Different permutations of patch colors code information about robot localization. Thus, extraction of color information from patch images leads to estimation of robot position. Additionally, simple geometric indicators are combined with patch colors to estimate robot's movement direction. Since only the distribution of patch colors has to be known, the analysis of patch images to is relatively fast and simple. The proposed robot localization system has been successfully tested for navigation of sample mobile robot. Obtained test results indicate the robustness and reliability of proposed technique for robot navigation.

Scale Invariant Single Face Tracking Using Particle Filtering With Skin Color

  • Adhitama, Perdana;Kim, Soo Hyung;Na, In Seop
    • International Journal of Contents
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    • 제9권3호
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    • pp.9-14
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    • 2013
  • In this paper, we will examine single face tracking algorithms with scaling function in a mobile device. Face detection and tracking either in PC or mobile device with scaling function is an unsolved problem. Standard single face tracking method with particle filter has a problem in tracking the objects where the object can move closer or farther from the camera. Therefore, we create an algorithm which can work in a mobile device and perform a scaling function. The key idea of our proposed method is to extract the average of skin color in face detection, then we compare the skin color distribution between the detected face and the tracking face. This method works well if the face position is located in front of the camera. However, this method will not work if the camera moves closer from the initial point of detection. Apart from our weakness of algorithm, we can improve the accuracy of tracking.

Regional sea water chlorophyll distribution derived from MODIS for near-real time monitoring

  • Liew, S.C.;Heng, A.W.C.
    • 대한원격탐사학회:학술대회논문집
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    • 대한원격탐사학회 2003년도 Proceedings of ACRS 2003 ISRS
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    • pp.1039-1041
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    • 2003
  • Ocean color products derived from remote sensing satellite data are useful for monitoring the sea water quality such as the concentrations of chlorophyll, sediments and dissolved organic matter. Currently, ocean color products derived from MODIS data can be requested from NASA over the internet. However, due to the bandwidth limitation of most users in this region, and the time delay in data delivery, the products cannot be use for near-real time monitoring of sea water chlorophyll. CRISP operates a MODIS data receiving station for environmental monitoring purposes. MODIS data have been routinely received and processed to level 1B. We have adapted the higher level processing algorithms from the Institutional Algorithms provided by NASA to run in a standalone environment. The implemented algorithms include the MODIS ocean color algorithms. Seasonal chlorophyll concentration composite can be compiled for the region. By comparing the near-real time chlorophyll product with the seasonal composite, anomaly in chlorophyll concentration can be detected.

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A Tracking-by-Detection System for Pedestrian Tracking Using Deep Learning Technique and Color Information

  • Truong, Mai Thanh Nhat;Kim, Sanghoon
    • Journal of Information Processing Systems
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    • 제15권4호
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    • pp.1017-1028
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    • 2019
  • Pedestrian tracking is a particular object tracking problem and an important component in various vision-based applications, such as autonomous cars and surveillance systems. Following several years of development, pedestrian tracking in videos remains challenging, owing to the diversity of object appearances and surrounding environments. In this research, we proposed a tracking-by-detection system for pedestrian tracking, which incorporates a convolutional neural network (CNN) and color information. Pedestrians in video frames are localized using a CNN-based algorithm, and then detected pedestrians are assigned to their corresponding tracklets based on similarities between color distributions. The experimental results show that our system is able to overcome various difficulties to produce highly accurate tracking results.