• Title/Summary/Keyword: Image plane

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Automated Diabetic Retinopathy Diagnosis using Bit-Plane (비트 플레인을 이용한 자동 당뇨망막병증 진단)

  • Jeon, Yeong Mi;Jeong, Seok Chan
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2021.10a
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    • pp.124-126
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    • 2021
  • In this study, fundus images were analyzed using an image processing algorithm for diagnosis of diabetic retinopathy, and specific areas such as hard exudate and retinal hemorrhage, which are characteristic of diabetic retinopathy disease using the bit plane technique, were extracted. We propose a system capable of automatic diagnosis by quantifying the characteristics of diabetic retinopathy based on the analyzed fundus image.

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Development of Real-Time Image Processing Algorithm on the Positions of Multi-Object in an Image Plane (한 이미지 평면에서 다물체 위치의 실시간 화상처리 알고리즘 개발)

  • Jang, W.S.;Kim, K.S.;Lee, S.M.
    • Journal of the Korean Society for Nondestructive Testing
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    • v.22 no.5
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    • pp.523-531
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    • 2002
  • This study is concentrated on the development of high speed multi-object image processing algorithm in real time. Recently, the use of vision system is rapidly increasing in inspection and robot's position control. To apply the vision system, it is necessary to transform the physical coordinate of object into the image information acquired by CCD camera. Thus, to use the application of the vision system to the inspection and robot's position control in real time, we have to know the position of object in the image plane. Particularly, in case of rigid body using multi-cue to identify its shape, the each position of multi-cue must be calculated in an image plane at the same time. To solve these problems, the image processing algorithm on the position of multi-cue is developed.

Camera Calibration with Two Calibration Planes and Oblique Coordinate Mapping (두 보정면과 사교좌표 매핑을 이용한 카메라 보정법)

  • Ahn, Jeong-Ho
    • Journal of the Korean Society for Precision Engineering
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    • v.16 no.7
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    • pp.119-124
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    • 1999
  • A method to find the line of sight ray in space which corresponds to a point in an image plane is presented. The line of sight ray is defined by two points which are the intersections between the two calibration planes and the sight ray. The intersection point is found by the oblique coordinate mapping between the image plane and the calibration plane in the space. The proposed oblique coordinate mapping method has advantages over the transformation matrix method in the required memory space and computation time.

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Realtime Implementation Method for Perspective Distortion Correction (원근 왜곡 보정의 실시간 구현 방법)

  • Lee, Dong-Seok;Kim, Nam-Gyu;Kwon, Soon-Kak
    • Journal of Korea Multimedia Society
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    • v.20 no.4
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    • pp.606-613
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    • 2017
  • When the planar area is captured by the depth camera, the shape of the plane in the captured image has perspective projection distortion according to the position of the camera. We can correct the distorted image by the depth information in the plane in the captured area. Previous depth information based perspective distortion correction methods fail to satisfy the real-time property due to a large amount of computation. In this paper, we propose the method of applying the conversion table selectively by measuring the motion of the plane and performing the correction process by parallel processing for correcting perspective projection distortion. By appling the proposed method, the system for correcting perspective projection distortion correct the distorted image, whose resolution is 640x480, as 22.52ms per frame, so the proposed system satisfies the real-time property.

Evaluation of Effect of Decrease in Metallic Artifacts using the Synthetic MR Technique (Synthetic MR 기법을 이용한 금속 인공물 감소 효과 평가)

  • Soon-Yong, Kwon;Nam-Yong, Ahn;Jeong-Eun, Oh;Seong-Ho, Kim
    • Journal of the Korean Society of Radiology
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    • v.16 no.7
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    • pp.835-842
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    • 2022
  • This study is aimed to evaluate the effects of a synthetic MR technique in reducing metal artifacts. In the experiment, the in-plane and through-plane images were acquired by applying a synthetic MR technique and a high-speed spin echo technique to a phantom manufactured with screw for spinal surgery. The area of the metal artifact was compared. The metal artifacts were measured by dividing the signal-loss and the signal pile-up areas, and the area of the final artifact was calculated through the sum of the two. As a result, the metal artifacts were relatively reduced when the synthetic MR techniques were applied to both in-plane and through-plane. Comparing by sequence, the in-plane T1 images decreased by 23.45%, T2 images by 20.85%, PD images by 19.67%, and FLAIR images by 22.12%. Also, in the case of the through-plane, the T1 image decreased by 62.95%, the T2 image decreased by 73.93%, the PD image decreased by 74.68%, and the FLAIR image decreased by 66.43%. The cause of this result is that when the synthetic MR technique is applied, the distortion is due to the signal pile-up and does not occur and the size of the entire metal artifact is reduced. Therefore, synthetic MR technique can very effectively reduce metal artifacts, which can help to increase the diagnostic value of images.

An Efficient Algorithm for Mapping 360° Circular Images to Planar Images (360° 원형영상을 평면영상에 매핑하기 위한 효율적인 알고리즘)

  • Lee, Young-Ji;Lee, Seung-Ho
    • Journal of IKEEE
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    • v.22 no.1
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    • pp.68-73
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    • 2018
  • In this paper, we propose an efficient algorithm for mapping a $360^{\circ}$ circular image to a planar image. The proposed algorithm consists of obtaining size of the planar image, calculating the distance between the camera and the planar image, calculating horizontal angle of camera and planar image, calculating vertical angle between camera and planar image, calculating the position of a pixel that matches pixels in a $360^{\circ}$ circular image to pixels in a planar image. Experiments were performed to evaluate the efficient algorithm for mapping the proposed $360^{\circ}$ circular image to the plane image. The reconstruction rate of the mapped plane image was confirmed 99% and the image quality of the mapped plane image was confirmed 72%. Since the results were higher than the standard values of commercial software, the effectiveness of the algorithm was confirmed.

A Steganography based on Bit Plane using Similarity (유사도를 이용한 비트플레인 기반의 스테가노그라피)

  • Moon, Il-Nam;Lee, Sin-Joo;Kim, Jang-Hyung;Lee, Kwang-Man
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.13 no.4
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    • pp.684-690
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    • 2009
  • In this paper, we proposed a new method of the steganography based on bit plane using similarity. Applying a fixed threshold, the insert information into all bit planes showed different image quality. Therefore, we first defined the bit plane of block similarity to solve the fixing threshold problem. We then proposed a new method using the Bit Plane complexity and similarity to insert information into bit planes of block. In the experiment, we inserted information into the standard images with the same image quality and same insertion capacity. Finally analyzed the insertion capacity and image quality. As a result, the proposed method increased the insertion capacity of about 6% and improved the image quality of about 3.3dB than fixing threshold method.

Improvement of self-mixing semiconductor laser range finder and its application to range-image recognition of slowly moving object

  • Suzuki, Takashi;Shinohara, Shigenobu;Yoshida, Hirofumi;Ikeda, Hiroaki;Saitoh, Yasuhiro;Nishide, Ken-Ichi;Sumi, Masao
    • 제어로봇시스템학회:학술대회논문집
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    • 1992.10b
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    • pp.388-393
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    • 1992
  • An infrared range finder using a self-mixing laser diode (SM-LD), which has been proposed and developed by the Authors, can measure not only a range of a moving target but its velocity simultaneously. In this paper, described is that the precise mode-hop pulse train can be obtained by employing a new signal processing circuit even when the backscattered light returning into the SM-LD is much more weaker. As a result, the distance to a tilted square sheet made from aluminium or white paper, which is placed 10 cm through 60 cm from the SM-LD, is measured with accuracy of a few percent even when the tilting angle is less than 75 degrees or 85 degrees, respectively. And in this paper, described is the range-image recognition of a plane object under the condition of standstill. The output laser beam is scanned by scanning two plane mirrors-equipped with each stepping motor. And we succeeded in the acquisition of the range-image of a plane object in a few tens of seconds. Furthermore, described is a feasibility study about the range-image recognition of a slowly moving plane object.

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Application of Computer Vision System for the Point Position Determination in the Plane (평면상에 있는 점위치 결정을 위한 컴퓨터장 비젼의 응용)

  • 장완식;장종근;유창규
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 1995.10a
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    • pp.1124-1128
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    • 1995
  • This paper presents the appplication of computer vision for the purpose of determing the position of the unknown point in the plane. The presented contrik method is estimate the six view parameters reqresenting the relationship between the image plane coordinates and the real physical coordinates. The estimation of six parameters is indispensable for transforming the 2-dimensional camera coordinates to the 3-dimensional spatial coordinates. Then, the position of unknown point is estimated based on the estimated parameters depending on the cameras. The suitability of this control scheme is demonstrated experimentally by determining of position the unknown point in the plane.

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An Application of Computer Vision System for the Determination of Object Position in the Plane (평면상에 있는 물체 위치 결정을 위한 컴퓨터 비젼 시스템의 응용)

  • 장완식
    • Journal of the Korean Society of Manufacturing Technology Engineers
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    • v.7 no.2
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    • pp.62-68
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    • 1998
  • This paper presents the application of computer vision for the purpose of determining the position of the unknown object in the plane. The presented control method is to estimate the six view parameters representing the relationship between the image plane coordinates and the real physical coordinates. The estimation of six parameters is indispensable for transforming the 2-dimensional camera coordinates to the 3-dimensional spatial coordinates. Then, the position of unknown point is estimated based on the estimated parameters depending on the cameras. The suitability of this control scheme is demonstrated experimentally by determining position of the unknown object in the plane.

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