• Title/Summary/Keyword: Image J

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Phantom of the AAPM CT imaging evaluation Studies on the quantitative analysis method (CT 정도관리 영상의 정량적 분석방법에 관한 연구)

  • Kim, Young-su;Ko, Seong-Jin;Kang, Se-Sik;Ye, Soo-young
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2016.05a
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    • pp.271-274
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    • 2016
  • CT quality assurance imaging evaluation and enforcement as quantitative assessment by phantom image evaluation, assessment items include There are also contrasting the water attenuation coefficient, uniformity, noise, resolution, spatial resolution, 10mm slice thickness evaluation, contrast resolution, space for the resolution, the slice thickness evaluation, it is possible to estimate the error due to the evaluation by the subjective judgment of the tester, using a subjective error image processing program to be computed to minimize the objective evaluation. Basic recording conditions of the CT image quality control assessment is the same as special medical equipment quality control checks, the images were evaluated quantitatively using IMAGE J. For a CT attenuation coefficient, the uniformity, noise evaluation, were evaluated as CT quality control image the standard deviation of the measured value of the digital processing of image smaller and less noise uniform images than the, contrast and resolution assessment is the size of the diameter of a circle having a large the 1 inch, 0.75 inch, 0.5 inch quality if the diameter of the circle, was evaluated in the small circle in the near circle ellipse. Spatial resolution is evaluated by using a self-extracting features of an image processing program, all of the groups of members comprising the acceptance criteria to automatically extract, was evaluated to be very useful for the quantitative assessment. When CT image quality control assessment on the basis of the results such as the above, if using an image processing program to minimize the subjective judgment of the error evaluator and is determined more efficient than would be made quantitative evaluation.

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Evaluation of Skin Furrows using Stereo image (Stereo image를 이용한 Skin furrows에 대한 연구)

  • Ahn, H.J.;Kim, M.G.;Moon, J.S.;Oh, Ch.H.
    • Proceedings of the KOSOMBE Conference
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    • v.1996 no.05
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    • pp.36-40
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    • 1996
  • There are two prevailing techniques, mechanical and optical profilometers, to measure 3-dimensional configurations of the human skin furrows. The methods have some limitations such as, accuracies or resolutions of the acquired 3-dimensional data and consistencies according to the repeated experiments. We devised an optical profilometer that is called stereo image optical profilometer (SOP) based on stereo image processing techniques. A stereo image is a pair of images that obtained from two cameras which have different angles. From the digital stereo images, the clinical informations for skin can be obtained by some signal processing techniques. In this paper, we focused on the 3-dimensional graphical visualizations of the structures and state of the skin furrows by solving the corresponding problem from the left and right pairs of the stereo images.

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Development of Basic Application Software for KOMPSAT High Resolution Images

  • Park S. Y.;Lee K. J.;Kim Y. S.
    • Proceedings of the KSRS Conference
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    • 2004.10a
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    • pp.509-511
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    • 2004
  • This paper outlines the development of image processing system, which will allow the general users in Government and Public organizations easily to use and apply KOMPSAT EOC images in their own business. The system includes an import/export module of EOC image distributed in Hierarchical Data Format (HDF) file and various image processing analysis modules. Especially, the image mosaic and subset functions are designed to use EOC image as an image map, generating the Ortho-image module. To update the various spatial data with EOC image, some essential modules such as change detection by pattern recognition, overlay between images and vector data, and modification of vector data are implemented in the system. The system is developed based on the user request analysis of government agency, and suited for more efficient use of satellite image in public applications. Such system is expected to contribute to practical application of KOMPSAT-2 that will be launched in 2005. Further efforts will be made to accommodate the KOMPSAT -2 MSC data.

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Facial Image Analysis Algorithm for Emotion Recognition (감정 인식을 위한 얼굴 영상 분석 알고리즘)

  • Joo, Y.H.;Jeong, K.H.;Kim, M.H.;Park, J.B.;Lee, J.;Cho, Y.J.
    • Journal of the Korean Institute of Intelligent Systems
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    • v.14 no.7
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    • pp.801-806
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    • 2004
  • Although the technology for emotion recognition is important one which demanded in various fields, it still remains as the unsolved problem. Especially, it needs to develop the algorithm based on human facial image. In this paper, we propose the facial image analysis algorithm for emotion recognition. The proposed algorithm is composed as the facial image extraction algorithm and the facial component extraction algorithm. In order to have robust performance under various illumination conditions, the fuzzy color filter is proposed in facial image extraction algorithm. In facial component extraction algorithm, the virtual face model is used to give information for high accuracy analysis. Finally, the simulations are given in order to check and evaluate the performance.

Evaluation of image acquisition using synchrotron radiation in CMOS sensor. (Synchrotron Radiation을 이용한 CMOS sensor image 획득평가)

  • Kim, D.H.;Park, J.K.;Choi, J.Y.;Chang, G.W.;Youn, G.J.;Moon, C.W.;Nam, S.H.
    • Proceedings of the Korean Institute of Electrical and Electronic Material Engineers Conference
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    • 2003.11a
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    • pp.396-399
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    • 2003
  • In this paper, the purpose is to develop imaging technique of synchrotron radiation using CMOS image sensor. The detector using hybrid method to be research in this lab was used, in order to increase image signal. We made experiments with 1B2 Whitebeam/microprobe beamline in PAL (Pohang Accelerator Laboratory). Phosphor materials such as ZnS:(Ag,Li), ZnS:(Cu,Al), $Y_2O_2S:Eu$ were produced by spin coating on glass. Synchrotron radiation images were acquired and evaluated from monochromatic light from monochromoator in PAL 1B2line. From obtained object and phantom, MTF was 0.15 in ZnS:(Ag,Li) phosphor, and 0.178 in ZnS:( Cu,Al) at 151p/mm. MTFs were unsystematic because thickness of phosphor and uniformity of surface were not optimized. It's expected to improve MTF and the qualify of images as uniformity's optimized.

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Intermediate Image Generation of Stereo Image Using Depth Information and Block-based Matching Method (깊이정보와 블록기반매칭을 이용한 스테레오 영상의 중간영상 생성)

  • 양광원;허경무;김장기
    • Journal of Institute of Control, Robotics and Systems
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    • v.8 no.10
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    • pp.874-880
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    • 2002
  • A number of techniques have been proposed for 3D display using view-difference of two eyes. These methods do not express enough reality like real world. The display images have to change according to the position of a viewer to improve reality. In this paper, we present an approach for generating intermediate image between two different view images by applying new image interpolation algorithm The interpolation algorithm is designed to cope with complex shapes. The proposed image interpolation algorithm generates rotated image about vertical axes by any angle from base images. Each base image that was obtained from CCD camera has an view-angle difference of $3^{\circ}C$, $5.5^{\circ}C$, $^{\circ}C$, $22^{\circ}C$, and $45^{\circ}C$. The proposed into mediate image generation method uses the geometric analysis of image and depth information through the block-based matching method.

Quantification of Starch Content in Apples Using Image Analysis and Its Relationships to Physicochemical Properties

  • Cho, Y. J.;Jun, W.;Kim, C. T.;Kim, C. J.;Kim, D. M.;Hwang, B. H.;Kim, J. K.
    • Agricultural and Biosystems Engineering
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    • v.2 no.2
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    • pp.59-62
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    • 2001
  • The starch content of apples, which is related to the maturity and ripeness, was quantified by using a computer vision system. The stained area was measured by image analysis when an apple slice was stained with KI/I$_2$ solution. The ratio of stained area of the apple slice to its whole area, so called the starch index, was defined as an indicator of the starch content. When Tsugaru apples were manually sorted into immature, turing and mature groups, their starch indices were 0.374, 0.312 and 0.129, respectively. The starch index had relationships to various physicochemical properties of Tsugaru apples. At the statistically significant level of 0.1%, it was correlated with the pH value, bio-yield force, rupture force and color of intact and skin-removed apples. At the 1% significant level, it had the correlation with the density and moisture content.

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Comparision of Spray Angles of Pintle-Type Gasoline Injector with Different Measuring Methods (측정방법에 따른 핀틀형 가솔린 인젝터의 분무각 비교)

  • Kim, K.J.;Rhim, J.H.;No, S.Y.;Moon, B.S.;Kim, J.Y.;Kang, K.G.
    • Journal of ILASS-Korea
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    • v.4 no.4
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    • pp.9-16
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    • 1999
  • Spray angle, a parameter which is most commonly used to evaluate. spray distribution, is important because it affects the axial and radial distribution of the fuel. Spray angles were measured and compared for the pintle-type gasoline fuel injector with n-heptane as a test fuel with the three different measuring techniques, i.e. digital image processing, shadowgraphy and spray patternator, respectively. Fuel was injected with the injection pressures of 0.2-0.35MPa into the room temperature and atmospheric pressure environment. In digital image processing method, the transmittance level greatly influences the spray angle with the axial distance from the injector. From the experimental results by the shadowgraphy technique, it is obvious that the spray angle vary during the injection period. The results of spray angle from the spray patternator show that there exist the different spray angles in the different areas. The spray angles increase with the increase in the injection pressure for the three measurement techniques considered in this study. The spray angle is widely different, especially in the near region from the injector, according to the measurement techniques used in this experimental work.

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QUANTIFICATION OF STARCH CONTENTS IN APPLES USING IMAGE ANALYSIS AND THEIR RELATIONSHIPS TO PHYSICOCHEMICAL PROPERTIES

  • Y. J. Cho;W. Jun;B. S. Ko;Kim, C. T.;Kim, C. J.;Kim, D. M.;Kim, J. K.
    • Proceedings of the Korean Society for Agricultural Machinery Conference
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    • 2000.11b
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    • pp.204-209
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    • 2000
  • At harvest, the starch contents of apples, which were related to their maturity, were quantified by using image analysis. The stained area was measured by a computer vision system when an apple slice was stained with KI/I$_2$ solution. The stained area ratio of the stained area of the apple slice to its whole area, or the starch index, was defined as an indicator of starch content. When Tsugaru apples were manually sorted into immature, turning and mature groups, their starch indices were 0.374, 0.312 and 0.129, respectively. Meanwhile, the starch index had correlation to various physicochemical properties of Tsugaru apples. At the statistically significant level of 0.1 %, it was correlated with the pH value, bio-yield force, rupture force and color of intact and skin-removed apples. At the 1 % significant level, it had the correlation with the density and moisture content.

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Design of PC-based CR-PACS using Multiresolution Wavelet Transform (Multiresolution Wavelet Transform을 이용한 Small PACS의 설계)

  • Kim, K.M.;Yoo, S.K.;Kim, N.H.;Huh, J.M.;Kim, E.J.
    • Proceedings of the KOSOMBE Conference
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    • v.1997 no.11
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    • pp.184-187
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    • 1997
  • Small PACS based on a personal computer or CR has initially been designed to improve the performance of cost-effective PACS implementation. In that system, Wavelet compression scheme is newly adopted to store images hierarchically to storage unit, and retrieve and display images progressively or display workstation. In this compression method, image is decomposed into subclasses of image by wavelet transform, and then the subclasses of image are vector quantized using a multiresolution codebook.

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