• 제목/요약/키워드: Strip image

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Rational Function Model 기반 KOMPSAT-3A 스트립 번들조정 (Bundle Adjustment of KOMPSAT-3A Strip Based on Rational Function Model)

  • 윤완상;김태정
    • 대한원격탐사학회지
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    • 제34권3호
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    • pp.565-578
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    • 2018
  • 본 연구에서는 번들조정 과정에서 요구되는 GCP의 수를 줄이기 위해 동일궤도 상의 개별 영상 대신 스트립을 스트립을 모델링 할 수 있는 가능성을 조사한다. 이를 위해 먼저 동일 궤도상에 존재하는 각 개별영상의 RFM(Rational function model)으로부터 스트립에 대한 RFM을 생성하였다. 다음으로, 생성된 스트립 이미지 간의 번들 조정을 통해 모델 보정계수를 산출하였다. 실험을 위해 각 3개의 Scene 영상으로 구성된 KOMPSAT-3A 스테레오 스트립을 사용하였다. 실험을 통해 스트립의 특정지역에 위치한 기준점만을 사용하여 초기모델 개선이 가능함을 확인하였다. 또한 12개의 지상기준점을 사용한 스트립 번들조정 수행 결과 수평 수직 방향으로 약 2 m의 3차원 위치 결정이 가능함을 확인하였다. 이를 통해 단일 영상 기반 번들조정보다 스트립 번들조정이 더 효율적일 수 있음을 확인하였다.

스트립 영상을 이용한 KOMPSAT-2 위성 센서모델링 (Sensor Modeling of KOMPSAT-2 Satellite Using Strip Image)

  • 김상필;손홍규;조경훈
    • 한국측량학회:학술대회논문집
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    • 한국측량학회 2010년 춘계학술발표회 논문집
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    • pp.217-219
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    • 2010
  • Sensor modeling is the basic step to extract and to use the information from satellite images. Sensor modeling requires ground control points. If we use a single image, we have limitations on modeling about images captured from regions that we can not approach or take GCPs. In this research, we use strip images to do sensor modeling by two methods. At first, we apply sensor modeiling to single image and apply the results by extrapolation. Next, we consider strip images to single image. As a result, we find the second method is more accurate about whole image.

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Image Analysis of a Lateral Flow Strip Sensor for the Detection of Escherichia coli O157:H7

  • Kim, Giyoung;Moon, Ji-Hea;Park, Saet Byeol;Jang, Youn-Jung;Lim, Jongguk;Mo, Changyeun
    • Journal of Biosystems Engineering
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    • 제38권4호
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    • pp.335-340
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    • 2013
  • Purpose: This study was performed to develop a lateral flow strip sensor for the detection of pathogenic Escherichia coli O157:H7 in various samples. Also, feasibility of using an image analysis method to improve the interpretation of the strip sensor was evaluated. Methods: The lateral flow strip sensor has been fabricated based on nitrocellulose lateral-flow membrane. Colloidal gold and E. coli O157:H7 antibodies were used as a tag and a receptor, respectively. Manually spotted E. coli O157:H7 antibody and anti-mouse antibody on nitrocellulose membrane were used as test and control dots, respectively. Feasibility of the lateral flow strip sensor to detect E. coli O157:H7 were evaluated with serially diluted E. coli O157:H7 cells in PBS or food samples. Test results of the lateral flow strip sensor were measured with an image analysis method. Results: The intensity of the test dot started to increase with higher concentration of the cells were introduced. The sensitivities of the sensor were both $10^4$ CFU/mL Escherichia coli O157:H7 spiked in PBS and in chicken meat extract, respectively. Conclusions: The lateral flow strip sensor and image analysis method could detect E. coli O157:H7 in 20 min, which is significantly quicker than conventional plate counting method.

냉연 강판의 개별 흠 분리를 위한 고속 레이블링에 관한 연구 (Fast labeling a1gorithm for the surface defect inspection of Cold Mill Strip)

  • 김경민;박중조
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 2000년도 하계학술대회 논문집 D
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    • pp.3056-3059
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    • 2000
  • This paper describes a fast image labeling algorithm for the feature extraction of connected components. Labeling the connected regions of a digitized image is a fundamental computation in image analysis and machine vision, with a large number of application that can be found in various literature. This algorithm is designed for the surface defect inspection of Cold Mill Strip. The labeling algorithm permits to separate all of the connected components appearing on the Cold Mill Strip.

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냉연 강판의 표면 흠 검사를 위한 수정된 고속 라벨링 알고리듬 (Modified East labeling Algorithm for the Surface Defect Inspection of Cold Mill Strip)

  • 김경민;박중조
    • 제어로봇시스템학회논문지
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    • 제12권11호
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    • pp.1156-1161
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    • 2006
  • This paper describes a fast image labeling algorithm for the feature extraction of connected components. Labeling the connected regions of a digitized image is a fundamental computation in image analysis and machine vision, with a large number of application that can be found in various literature. This algorithm is designed for the surface defect inspection of Cold Mill Strip. The labeling algorithm permits to separate all of the connected components appearing on the Cold Mill Strip.

극박 냉연강판의 경사진 핀홀 검출에 관한 연구 (The Measurement of The Inclined Pinhole in The Cold Strip)

  • 김하술;배호문;이희준
    • 한국소성가공학회:학술대회논문집
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    • 한국소성가공학회 1999년도 제3회 압연심포지엄 논문집 압연기술의 미래개척 (Exploitation of Future Rolling Technologies)
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    • pp.201-207
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    • 1999
  • The automatic pinhole detection system is described. The goal of this project is to study the feasibility test of the new concept for hole detection. The developed method is able to detect almost 50$\mu\textrm{m}$ pinhole by evaluating the shining of the light as if there is pinhole in the strip. Moreover, it is possible to inspect up to the 200$\mu\textrm{m}$ inclined pinhole. The system cosists of three main functional parts: the source part of the light which is using the linear halogen lamp, the image gathering part which is using a line CCD and the image processing part. The light spot can be controlled and optimized corresponding to the situation of the strip. To eliminate back ground noise, the binary image processing method is adopted.

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A Study on the Characteristics of Work Roll Texturing for Temper Mill

  • Kim, Soon Kyung;Kim, Moon Kyung;Shahajwalla, Veena;Chung, Uoo Chang
    • KSTLE International Journal
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    • 제2권1호
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    • pp.80-84
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    • 2001
  • The purpose of this paper is to show the result from the study to improve the formability and appearance which is important in the cold rolled strip, the coated strip and prepainted strip. Furthermore, to give appropriate surface roughness, shape of work roll for temper mill is also important. The strip has a greater peak counts and homogeneous roughness. This makes the prepainted surface smooth and consistent in appearance with good image clarity. Therefore, the surface roughness of the work roll is very important. The reason that surface roughness of the work roll is transferred to the strip surface is the rolling farce and tension at the temper rolling or cold rolling. This study is classified in order to get an accurate and homogeneous roughness. There are few papers published in this field, because its importance is not known and the proper operation of the machine is not generally well known. This paper investigates the correlation between strip surface roughness and the surface of the work roll. After studying the surface roughness and shape according to the texturing method for roll surfaces at temper rolling, the findings were as follows. Irregular surface roughness can be compensated with several paint coatings, but this also makes the quality deteriorate and manufacturing costs go up.

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선형테이퍼 결합 Strip 선로의 여파특성 (Characteristics of Linearly Tapered Coupled Strip-Line Filters)

  • 박기수
    • 대한전자공학회논문지
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    • 제9권2호
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    • pp.1-16
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    • 1972
  • 본논문은 특성임퍼이던스가 선형적으로 변화하는 단일 Strip선로의 특성파라미터를 이용하여, 우선 even-mode 및 odd-mode임피이던스가 모두 선형적으로 변화하는 비대칭형인 결합Strip선로의 특성파라미터를 구하였다. 다음에는 상기한 비대칭결합Strip선로를 종속연결한 대칭형결합Strip선로를 구성하고, 선로단자조건에 따라서 결합Strip선로가 갖는 여파특성을 고찰하였다. 선형 결합Strip선로의 특성을 해석한 결과, 선형결합Strip선로는 균일Strip선로를 사용하는 경우에 비하여 몇가지 점에서 좋은 여파특성을 갖고 있음을 명시하였다.

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컴퓨터 비젼 시스템을 이용한 알루미늄표면 검사 알고리즘 개발 (Used the Computer Vision System Develop of Algorithm for Aluminium Mill Strip Defect Inspection)

  • 이용중
    • 한국공작기계학회:학술대회논문집
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    • 한국공작기계학회 2000년도 춘계학술대회논문집 - 한국공작기계학회
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    • pp.115-120
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    • 2000
  • This study is on the application the image processing algorithm for inspection of the aluminium mill strip surface defect. The image of surface defect data was obtained using the CCD camera with the digital signal board. The edge was found from the difference of pixel intensity between the normal image and defect image. Two step were taken to find the edge in the image processing algorithm. First, noise was removed by using the median filter in the image. Second, the edge was sharpened in detail by using the sharpening convolution filter in the image. Canny algorithm was used to defect the exact edge. The defect section was separated from the original image is to find the coordination point p1 and p2 which include the defect image

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3D Map Building of The Mobile Robot Using Structured Light

  • Lee, Oon-Kyu;Kim, Min-Young;Cho, Hyung-Suck;Kim, Jae-Hoon
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 2001년도 ICCAS
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    • pp.123.1-123
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    • 2001
  • For Autonomous navigation of the mobile robots, the robots' capability to recognize 3D environment is necessary. In this paper, an on-line 3D map building method for autonomous mobile robots is proposed. To get range data on the environment, we use an sensor system which is composed of a structured light and a CCD camera based on optimal triangulation. The structured laser is projected as a horizontal strip on the scene. The sensor system can rotate $\pm$ $30{\Circ}$ with a goniometer. Scanning the system, we get the laser strip image for the environments and update planes composing the environment by some image processing steps. From the laser strip on the captured image, we find a center point of each column, and make line segments through blobbing these center poings. Then, the planes of the environments are updated. These steps are done on-line in scanning phase. With the proposed method, we can efficiently get a 3D map about the structured environment.

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