• Title/Summary/Keyword: Color sensor

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Rapid Detection Kit for Staphylococcus aureus (황색포도상구균 신속 검출용 간이 진단키트)

  • Kim, Gi-Young;Park, Saet-Byeol;Moon, Ji-Hea;Lee, Sang-Dae;Lee, Sea-Rom;Jang, Youn-Jung
    • Korean Journal of Agricultural Science
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    • v.40 no.2
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    • pp.139-146
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    • 2013
  • This study was performed to develop a rapid test kit for pathogenic Staphylococcus in various samples. The rapid detection kit has been fabricated based on nitrocellulose lateral-flow strip. Colloidal gold and Staphylococcus antibodies were used as a tag and a receptor, respectively. Manually spotted Staphylococcus antibody and anti-mouse antibody on the surface of nitrocellulose membrane were used as test and control lines, respectively. Feasibility of the rapid kit to detect Staphylococcus aureus in samples were evaluated. The intensity of the color of the test line started to increase with the samples in which higher concentration of the cells were contained. The sensitivity of the sensor was $10^6$ cfu/mL Staphylococcus spiked in PBS. Also, the rapid test kit could detect $10^5$ cfu/mL of Staphylococcus in chicken meat extract.

Vision-Based Indoor Object Tracking Using Mean-Shift Algorithm (평균 이동 알고리즘을 이용한 영상기반 실내 물체 추적)

  • Kim Jong-Hun;Cho Kyeum-Rae;Lee Dae-Woo
    • Journal of Institute of Control, Robotics and Systems
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    • v.12 no.8
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    • pp.746-751
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    • 2006
  • In this paper, we present tracking algorithm for the indoor moving object. We research passive method using a camera and image processing. It had been researched to use dynamic based estimators, such as Kalman Filter, Extended Kalman Filter and Particle Filter for tracking moving object. These algorithm have a good performance on real-time tracking, but they have a limit. If the shape of object is changed or object is located on complex background, they will fail to track them. This problem will need the complicated image processing algorithm. Finally, a large algorithm is made from integration of dynamic based estimator and image processing algorithm. For eliminating this inefficiency problem, image based estimator, Mean-shift Algorithm is suggested. This algorithm is implemented by color histogram. In other words, it decide coordinate of object's center from using probability density of histogram in image. Although shape is changed, this is not disturbed by complex background and can track object. This paper shows the results in real camera system, and decides 3D coordinate using the data from mean-shift algorithm and relationship of real frame and camera frame.

Global Distribution of Ocean Color Speckles

  • Chae, Hwa-Jeong;Park, Gyeong-Ae
    • 한국지구과학회:학술대회논문집
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    • 2010.04a
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    • pp.135-135
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    • 2010
  • 1997년에 발사된 해색센서 Sea-viewing Wide Field-of-view Sensor (SeaWiFS)의 클로로필-a 자료는 많은 연구자들에게 전 지구 규모나 지역 규모에 대한 해양표층의 식물 플랑크톤 증식을 연구하는데 널리 활용되고 있다. 그런데 NASA로부터 제공되는 동해의 SeaWiFS Level-3 클로로필 자료에는 비정상적으로 높은 농도 값이 스펙클 형태로 분포한다. 본 연구에서는 1998년부터 2007까지 전구의 SeaWiFS 자료를 이용하여 SeaWiFS 클로로필-a 농도가 가지는 스펙클 오차의 분포 특성에 관해 조사하였다. 10년간의 월별 자료로부터 각 화소의 최댓값을 분석한 결과 정상적 농도 범위에서 벗어난 높은 농도 값이 스펙클 형태로 출현하였다. 이런 특성은 북반구에서 전구의 80% 이상 높게 나타났으며, 특히 $40-75^{\circ}N$의 중위도 영역에 집중분포하였다. 또한 스펙클들은 연안 가까이에서 매우 높게 나타난 반면 연안과 멀리 떨어진 외해에서도 $10-80mg/m^3$정도의 높은 값을 가지고 산발적으로 분포하였다. 스펙클들은 해마다 상당한 연 변동을 보였으며, 해역별로 크게 분포하는 시기가 다르게 나타났다. 북태평양에서는 봄철에 크게 나타난 반면 북대서양에서는 봄철과 가을철에 고르게 분포하였다. 2009년의 SeaWiFS 재처리 이후에 스펙클 오차 보정에 대한 처리가 이루어졌으며, 상당량 줄어든 분포를 보였으나 여전히 자료 안에서 매우 높은 농도로 분포하며 자료에 오차를 유발하고 있다. 따라서 본 연구는 전구에서 나타나는 스펙클 오차 분포 특성을 분석함으로 해색자료가 가지는 오차에 관한 문제점을 제기하였으며, 이를 통해 좀 더 신뢰도 있는 자료를 해양 연구에 사용해야함을 제시한다.

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Moving Vehicle Tracking using Fuzzy Clustering (퍼지 클러스터링을 이용한 이동 차량 추적)

  • 양상규;이정재;소영성
    • Journal of the Korean Institute of Intelligent Systems
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    • v.6 no.4
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    • pp.92-101
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    • 1996
  • Due to I:he rapid increase of vehicles and poor availability of roads, traffic congestion problem is about to explode. To solve this problem, we need real time information about traffic flow to control traffic signals dynamically. Until now loop coil is the most prevalent sensor used for obtaining traffic flow information. However, it is not able to track individual vehicles which is essential in estimating the average vehicle speed. As a result, image sensors started to find their role in this problem domain. Several systems based on image sensors were proposed which assumes either gray level or color image sequence. In this paper, we propose moving vehicle tracking method based on fizzy clustering assuming a wlor image sequenc.

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Stencil-based 3D facial relief creation from RGBD images for 3D printing

  • Jung, Soonchul;Choi, Yoon-Seok;Kim, Jin-Seo
    • ETRI Journal
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    • v.42 no.2
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    • pp.272-281
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    • 2020
  • Three-dimensional (3D) selfie services, one of the major 3D printing services, print 3D models of an individual's face via scanning. However, most of these services require expensive full-color supporting 3D printers. The high cost of such printers poses a challenge in launching a variety of 3D printing application services. This paper presents a stencil-based 3D facial relief creation method employing a low-cost RGBD sensor and a 3D printer. Stencil-based 3D facial relief is an artwork in which some parts are holes, similar to that in a stencil, and other parts stand out, as in a relief. The proposed method creates a new type of relief by combining the existing stencil techniques and relief techniques. As a result, the 3D printed product resembles a two-colored object rather than a one-colored object even when a monochrome 3D printer is used. Unlike existing personalization-based 3D printing services, the proposed method enables the printing and delivery of products to customers in a short period of time. Experimental results reveal that, compared to existing 3D selfie products printed by monochrome 3D printers, our products have a higher degree of similarity and are more profitable.

Image-based structural dynamic displacement measurement using different multi-object tracking algorithms

  • Ye, X.W.;Dong, C.Z.;Liu, T.
    • Smart Structures and Systems
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    • v.17 no.6
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    • pp.935-956
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    • 2016
  • With the help of advanced image acquisition and processing technology, the vision-based measurement methods have been broadly applied to implement the structural monitoring and condition identification of civil engineering structures. Many noncontact approaches enabled by different digital image processing algorithms are developed to overcome the problems in conventional structural dynamic displacement measurement. This paper presents three kinds of image processing algorithms for structural dynamic displacement measurement, i.e., the grayscale pattern matching (GPM) algorithm, the color pattern matching (CPM) algorithm, and the mean shift tracking (MST) algorithm. A vision-based system programmed with the three image processing algorithms is developed for multi-point structural dynamic displacement measurement. The dynamic displacement time histories of multiple vision points are simultaneously measured by the vision-based system and the magnetostrictive displacement sensor (MDS) during the laboratory shaking table tests of a three-story steel frame model. The comparative analysis results indicate that the developed vision-based system exhibits excellent performance in structural dynamic displacement measurement by use of the three different image processing algorithms. The field application experiments are also carried out on an arch bridge for the measurement of displacement influence lines during the loading tests to validate the effectiveness of the vision-based system.

A Study on Hand Shape Recognition using Edge Orientation Histogram and PCA (에지 방향성 히스토그램과 주성분 분석을 이용한 손 형상 인식에 관한 연구)

  • Kim, Jong-Min;Kang, Myung-A
    • Journal of Digital Contents Society
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    • v.10 no.2
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    • pp.319-326
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    • 2009
  • In this paper, we present an algorithm which recognize hand shape in real time using only image without adhering separate sensor. Hand recognizes using edge orientation histogram, which comes under a constant quantity of 2D appearances because hand shape is intricate. This method suit hand pose recognition in real time because it extracts hand space accurately, has little computation quantity, and is less sensitive to lighting change using color information in complicated background. Method which reduces recognition error using principal component analysis(PCA) method to can recognize through hand shape presentation direction change is explained. A case that hand shape changes by turning 3D also by using this method is possible to recognize. Human interface system manufacture technique, which controls a home electric appliance or game using, suggested method at experience could be applied.

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The Fire Detection Method Using Image Logical Operation and Fire Feature (영상 논리곱 연산과 화재 특징자를 이용한 화재 검출 방법)

  • Piao, Peng-Ji;Moon, Kwang-Seok;Ryu, Ji-Goo;Jung, Shin-Il;Kim, Jong-Nam
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2010.05a
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    • pp.594-597
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    • 2010
  • This paper proposes a fire detection algorithm using low-cost camera to detect visual features of fire. In the previous work sensor cameras were used, but here we use very simple cameras. This method uses YCbCr and YIQ color model to detect candidate regions of fire. The candidate areas are extracted from the boundaries of the fire. noise removal elimination is performed. Regardless of environmental changes around the fire area, the results of the proposed algorithm are very satisfactory.

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Characteristics of Surface Hardening by Laser Power Control in Real Time of Spheroidal Graphite Cast Iron (실시간 출력 제어를 통한 구상흑연 주철의 레이저 표면경화 특성)

  • Kim, Jongdo;Song, Mookeun
    • Laser Solutions
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    • v.18 no.2
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    • pp.1-4
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    • 2015
  • This study is related to the surface hardening treatment to spheroidal graphite cast iron for die by using high power diode laser. Laser device used in this experiment is capable of real-time laser power control. This is because the infrared temperature sensor (two color pyrometer) attached to the optical system measures the surface temperature of specimen and adjusts the laser power in real time. The surface treatment was carried out with the change of heat treatment temperature at the beam travel speed 3 mm/sec. Hardened width and depth was measured and hardened zone was analyzed by micro vickers hardness test in order to research the optimum condition of heat treatment. The changes in microstructure of the hardened zone also was examined. As a result of hardness measurement and observations on microstructure of hardened zone, hardness increased over three times as compared with base metal because the martensite was formed on the matrix structure.

Optical Design of a Reflecting Telescope for CubeSat

  • Jin, Ho;Lim, Juhee;Kim, Youngju;Kim, Sanghyuk
    • Journal of the Optical Society of Korea
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    • v.17 no.6
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    • pp.533-537
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    • 2013
  • Space telescope optics is one of the major parts of any space mission used to observe astronomical targets or the Earth. This kind of space mission typically involves bulky and complex opto-mechanics with a long optical tube, but attempts have been made to observe a target with a small satellite. In this paper, we describe the optical design of a reflecting telescope for use in a CubeSat mission. For this design we adopt the off-axis segmented method for astronomical observation techniques based on a Ritchey-Chr$\acute{e}$tien type telescope. The primary mirror shape is a rectangle with dimensions of $8cm{\times}8cm$, and the secondary mirror has dimensions of $2.4cm{\times}4.1cm$. The focal ratio is 3 which can yield a 0.383 degree diagonal angle in a $1280{\times}800$ CMOS color image sensor with a pixel size of $3{\mu}m{\times}3{\mu}m$. This optical design can capture a ${\sim}4km{\times}{\sim}2.3km$ area of the earth's surface at 700 km altitude operation.