• Title/Summary/Keyword: Image Plane

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A STUDY ON THE CENTRAL PLANE OF IMAGE LAYER IN PANORAMIC RADIOGRAPH (파노라마방사선사진에 있어서 상층중심면에 관한 연구)

  • Lee Mun Bai;Park Chang Seo
    • Journal of Korean Academy of Oral and Maxillofacial Radiology
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    • v.16 no.1
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    • pp.59-68
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    • 1986
  • The purpose of this investigation was to locate the central plane of the image layer on the panoramic machine relative to a specific point on the machine. In the study of the central plane of the image layer of panoramic radiograph, using the Morrita Company PANEX-EC a series of 33 exposures were taken with the 4-5 experimental pins placed in the holes of the plastic model plate, then evaluated by human eye. The author analyzed the central plane of the image layer by Mitutoyo-A-221 and calculated horizontal and vertical magnification ratio in the central plane of the image layer determined experimentally. The results were as follows: 1. The location of the central plane of the image layer determined experimentally was to lateral, compared with manufactural central plane. 2. Horizontal magnification ratio in the central plane of the image layer determined experimentally was 9.25%. 3. Vertical magnification ratio in the central plane of the image layer determined experimentally was 9.17%.

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Pyramidal Image Coding using Edge Information (Edge 정보에 근거한 피라미드 영상부호화)

  • 김해성;김남철;심영석
    • Proceedings of the Korean Institute of Communication Sciences Conference
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    • 1987.04a
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    • pp.27-30
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    • 1987
  • Some modification of laplacian pyramidal coding have been done and tested for a test image, From our studies, its apperar that 3-D redictor which exploits inter and intra plane redundancy simultaneously somewhat imporves the image quality, We also have tried to reduce the bit rate by only sending zeroth plane image values that correstpond to estimated dege points which can be obtained from the first plane For both cases the feedback of quantization errof in the previous plane has been in the reconstruction of each plane. Subjective and SNR tests show the better performance of the studied methods oner the conventional one.

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Development of Hough Transform for Space-Variant Image (공간 변형 영상에서의 Hough 변환)

  • 김장식;진성일
    • Proceedings of the IEEK Conference
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    • 2000.09a
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    • pp.675-678
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    • 2000
  • This paper presents a parametric line equation on the log-polar mapped plane to detect the straight lines in an original image. The log-polar edge image used in Hough transform is constructed by combining the edge images of both fovea and periphery. The foveal edge image detected by a Sobel mask on the Cartesian plane is transformed to the log-polar plane by forward mapping but the edge detection of the peripheral region is obtained by directly applying the newly developed mask to the log-polar plane. This paper also proposes a analytic method then determining a border between the fovea and the periphery regions.

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Development of multi-object image processing algorithm in a image plane (한 이미지 평면에 있는 다물체 화상처리 기법 개발)

  • 장완식;윤현권;김재확
    • 제어로봇시스템학회:학술대회논문집
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    • 2000.10a
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    • pp.555-555
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    • 2000
  • This study is concentrated on the development of hight speed multi-object image processing algorithm, and based on these a1gorithm, vision control scheme is developed for the robot's position control in real time. Recently, the use of vision system is rapidly increasing in robot's position centre. To apply vision system in robot's position control, it is necessary to transform the physical coordinate of object into the image information acquired by CCD camera, which is called image processing. Thus, to control the robot's point position in real time, we have to know the center point of object in image plane. Particularly, in case of rigid body, the center points of multi-object must be calculated in a image plane at the same time. To solve these problems, the algorithm of multi-object for rigid body control is developed.

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Twin-Image Elimination in In-line Digital Holography Microscope (In-line 디지털 홀로그래피 현미경에서 쌍둥이 상 제거연구)

  • Cho, Hyung-Jun;Yu, Young-Hun
    • Korean Journal of Optics and Photonics
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    • v.18 no.2
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    • pp.117-121
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    • 2007
  • A fundamental problem in the in-line digital holography microscope is that the real image and virtual image and zero-order image are not separated spatially. In this paper, we have eliminated the zero-order noise by an averaging method and the twin image is divided using a geometrical set-up in an in-line digital holographic microscope. The size of the virtual image depends on the distance between the objective lens and the hologram plane and on the distance between the hologram plane and the image plane. We found that the virtual image size is smallest when the distance between the objective lens and the hologram plane is equal to the back focal length of the objective lens. We could divide the virtual image and real image by controlling the distance between the hologram plane and the objective lens.

The Impedance Characteristics of Verical Antennas Over a Finite Image Plane (영상면상의 직선형 안테나의 임피이던스 특성)

  • 양인용;조성호
    • Journal of the Korean Institute of Telematics and Electronics
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    • v.3 no.3
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    • pp.2-13
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    • 1966
  • The impedance characteristics of vertical antennas over a finite image plane were analyzed and measured. Two kinds of image plane, one rectangular and the other circular, were used for the mesurements. And the length of antennas was varied at fixed frequency. All kinds of terminal zone effects which possible raise questions because of antenna mounting system were discussed. It is observed from the results that the measured impedance of antennas over a comparativley large rectangular plane is approximatly identical with the theoretical value, and also the impedance of antennas over a comparatively small circular plane had similar characteristics to a comparatively thick antennas over an inifinite image plane.

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TIN Based Geometric Correction with GCP

  • Seo, Ji-Hun;Jeong, Soo;Kim, Kyoung-Ok
    • Korean Journal of Remote Sensing
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    • v.19 no.3
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    • pp.247-253
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    • 2003
  • The mainly used technique to correct satellite images with geometric distortion is to develop a mathematical relationship between pixels on the image and corresponding points on the ground. Polynomial models with various transformations have been designed for defining the relationship between two coordinate systems. GCP based geometric correction has peformed overall plane to plane mapping. In the overall plane mapping, overall structure of a scene is considered, but local variation is discarded. The Region with highly variant height is rectified with distortion on overall plane mapping. To consider locally variable region in satellite image, TIN-based rectification on a satellite image is proposed in this paper. This paper describes the relationship between GCP distribution and rectification model through experimental result and analysis about each rectification model. We can choose a geometric correction model as the structural characteristic of a satellite image and the acquired GCP distribution.

3D Image Correlator using Computational Integral Imaging Reconstruction Based on Modified Convolution Property of Periodic Functions

  • Jang, Jae-Young;Shin, Donghak;Lee, Byung-Gook;Hong, Suk-Pyo;Kim, Eun-Soo
    • Journal of the Optical Society of Korea
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    • v.18 no.4
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    • pp.388-394
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    • 2014
  • In this paper, we propose a three-dimensional (3D) image correlator by use of computational integral imaging reconstruction based on the modified convolution property of periodic functions (CPPF) for recognition of partially occluded objects. In the proposed correlator, elemental images of the reference and target objects are picked up by a lenslet array, and subsequently are transformed to a sub-image array which contains different perspectives according to the viewing direction. The modified version of the CPPF is applied to the sub-images. This enables us to produce the plane sub-image arrays without the magnification and superimposition processes used in the conventional methods. With the modified CPPF and the sub-image arrays, we reconstruct the reference and target plane sub-image arrays according to the reconstruction plane. 3D object recognition is performed through cross-correlations between the reference and the target plane sub-image arrays. To show the feasibility of the proposed method, some preliminary experiments on the target objects are carried out and the results are presented. Experimental results reveal that the use of plane sub-image arrays enables us to improve the correlation performance, compared to the conventional method using the computational integral imaging reconstruction algorithm.

Dynamic Characteristics of a Piezoelectric Driven Stick-Slip Actuator for Focal Plane Image Stabilization (초점면부 영상안정화를 위한 압전형 마찰구동기의 동특성 연구)

  • Kwag, Dong-Gi;Bae, Jae-Sung;Hwang, Jai-Hyuk
    • Journal of the Korean Society for Aeronautical & Space Sciences
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    • v.37 no.4
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    • pp.399-405
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    • 2009
  • The focal plane image stabilization for a satellite camera is one of the an effective method which can increase the satellite camera's image quality by removing the motion disturbance of a focal plane. The objectives of this article are to introduce the concept of the focal plane image stabilization and determine the best driving conditions of the actuator for the response and thrust. Under various driving condition the experiments have been performed to investigate the response and thrust characteristics of the piezoelectric driven stick-slip actuator of the focal plane image stabilizing device. From experiments, the best driving frequency and duty ratio for the magnesium slider are 70 kHz and 27%, respectively.

Absolute Depth Estimation Based on a Sharpness-assessment Algorithm for a Camera with an Asymmetric Aperture

  • Kim, Beomjun;Heo, Daerak;Moon, Woonchan;Hahn, Joonku
    • Current Optics and Photonics
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    • v.5 no.5
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    • pp.514-523
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    • 2021
  • Methods for absolute depth estimation have received lots of interest, and most algorithms are concerned about how to minimize the difference between an input defocused image and an estimated defocused image. These approaches may increase the complexity of the algorithms to calculate the defocused image from the estimation of the focused image. In this paper, we present a new method to recover depth of scene based on a sharpness-assessment algorithm. The proposed algorithm estimates the depth of scene by calculating the sharpness of deconvolved images with a specific point-spread function (PSF). While most depth estimation studies evaluate depth of the scene only behind a focal plane, the proposed method evaluates a broad depth range both nearer and farther than the focal plane. This is accomplished using an asymmetric aperture, so the PSF at a position nearer than the focal plane is different from that at a position farther than the focal plane. From the image taken with a focal plane of 160 cm, the depth of object over the broad range from 60 to 350 cm is estimated at 10 cm resolution. With an asymmetric aperture, we demonstrate the feasibility of the sharpness-assessment algorithm to recover absolute depth of scene from a single defocused image.