• Title/Summary/Keyword: Image-Number I

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Collimator Selection in $^{124}Te$ generated $^{123}I$ SPECT imaging ($^{124}Te$ Target로 생산된 $^{123}I$ SPECT 영상에서의 조준기 선택)

  • Kim, H.J.;Son, H.K.;Bong, J.K.;Nam, K.P.;Lee, H.K.
    • Proceedings of the KOSOMBE Conference
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    • v.1996 no.05
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    • pp.45-48
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    • 1996
  • In the case of $^{123}I$ from the $^{124}Te$ (p,2n)reaction, the radionuclidic impurity is the high-energy gamma-emitting $^{124}I$, which interferes greatly with nuclear medicine images. The choice of a collimator can affect the quality of clinical SPECT images of [I-123]MIBG or [I-123]TPT. The tradeoffs that two different collimators make among spatial resolution, sensitivity, and scatter were studied by imaging a line source at 5cm, 10cm, 15cm distance using a number of plexiglass sheets between source and collimator, petri dist two-dimensional Hoffman brain phantom, and Jaszczak phantom after filling with $^{123}I$ (FWHM, FWTM, Sensitivity) for low energy ultra high resolution parallel hole(LEUHRP) collimator and medium energy general purpose (MEGP) collimator were measured as (9.27mm, 61.27mm $129CPM/[\mu}$ Ci) and (10.53m 23.17mm $105CPM/{\mu}$ Ci), respectively. The image quality of two-dimensional Hoffman brain Phantom with LEUHRP looked better than the one with MEGP. However, the image quality of Jasgczak phantom with LEUHRP looked much worse than the one with MEGP, The results suggest that the MEGP is preferable to LEUHRP for SPECT studies of [I-123]MIBG or [I-123]IPT.

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Deep survey using deep learning: generative adversarial network

  • Park, Youngjun;Choi, Yun-Young;Moon, Yong-Jae;Park, Eunsu;Lim, Beomdu;Kim, Taeyoung
    • The Bulletin of The Korean Astronomical Society
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    • v.44 no.2
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    • pp.78.1-78.1
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    • 2019
  • There are a huge number of faint objects that have not been observed due to the lack of large and deep surveys. In this study, we demonstrate that a deep learning approach can produce a better quality deep image from a single pass imaging so that could be an alternative of conventional image stacking technique or the expensive large and deep surveys. Using data from the Sloan Digital Sky Survey (SDSS) stripe 82 which provide repeatedly scanned imaging data, a training data set is constructed: g-, r-, and i-band images of single pass data as an input and r-band co-added image as a target. Out of 151 SDSS fields that have been repeatedly scanned 34 times, 120 fields were used for training and 31 fields for validation. The size of a frame selected for the training is 1k by 1k pixel scale. To avoid possible problems caused by the small number of training sets, frames are randomly selected within that field each iteration of training. Every 5000 iterations of training, the performance were evaluated with RMSE, peak signal-to-noise ratio which is given on logarithmic scale, structural symmetry index (SSIM) and difference in SSIM. We continued the training until a GAN model with the best performance is found. We apply the best GAN-model to NGC0941 located in SDSS stripe 82. By comparing the radial surface brightness and photometry error of images, we found the possibility that this technique could generate a deep image with statistics close to the stacked image from a single-pass image.

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Image Processing Methods for Measurement of Lettuce Fresh Weight

  • Jung, Dae-Hyun;Park, Soo Hyun;Han, Xiong Zhe;Kim, Hak-Jin
    • Journal of Biosystems Engineering
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    • v.40 no.1
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    • pp.89-93
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    • 2015
  • Purpose: Machine vision-based image processing methods can be useful for estimating the fresh weight of plants. This study analyzes the ability of two different image processing methods, i.e., morphological and pixel-value analysis methods, to measure the fresh weight of lettuce grown in a closed hydroponic system. Methods: Polynomial calibration models are developed to relate the number of pixels in images of leaf areas determined by the image processing methods to actual fresh weights of lettuce measured with a digital scale. The study analyzes the ability of the machine vision- based calibration models to predict the fresh weights of lettuce. Results: The coefficients of determination (> 0.93) and standard error of prediction (SEP) values (< 5 g) generated by the two developed models imply that the image processing methods could accurately estimate the fresh weight of each lettuce plant during its growing stage. Conclusions: The results demonstrate that the growing status of a lettuce plant can be estimated using leaf images and regression equations. This shows that a machine vision system installed on a plant growing bed can potentially be used to determine optimal harvest timings for efficient plant growth management.

Experimental study of unsteady thermally stratified flow (비정상 열확산 현상 의 실험적 연구)

  • 이상준;정명균
    • Transactions of the Korean Society of Mechanical Engineers
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    • v.9 no.6
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    • pp.767-776
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    • 1985
  • Unsteady thermally stratified flow caused by two-dimensional surface discharge of warm water into a oblong channel was investigated. Experimental study was focused on the rapidly developing thermal diffusion at small Richardson number. The basic objective were to study the interfacial mixing between a flowing layer of warm water and an underlying body of cold water and to accumulate experimental data to test computational turbulence models. Mean velocity field measurements were carried out by using NMR-CT (Nuclear Magnetic Resonance-Computerized Tomography). It detects quantitative flow image of any desired section in any direction of flow in short time. Results show that at small Richardson number warm layer rapidly penetrates into the cold layer because of strong turbulent mixing and instability between the two layers. It is found that the transfer ofheat across the interface is more vigorous than that of momentum. It is also proved that the NMR-CT technique is a very valuable tool to measure unsteady three dimensional flow field.

A study on the performance of the acoustic lens (음향 렌즈의 성능에 관한 연구)

  • Ko, Dae-Sik;Kun, Moon;Jun, Kye-Suk
    • Proceedings of the KIEE Conference
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    • 1987.07b
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    • pp.1591-1594
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    • 1987
  • The Scanning Acoustic Microscope(SAM) is an image device which can display the small opaque material or the interior of solid. This paper showed the design of the acoustic lens which is an important factor of the Scanning Acoustic Microscope, and analyzed the performance of the acoustic lens. Finally, I experimented the image processing of the interior of solid through the Scanning Acoustic Microscope and the change of the acoustic image (resolution,contrast) by the change of F/number.

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Image Coding Using the Self-Organizing Map of Multiple Shell Hypercube Struture (다중쉘 하이퍼큐브 구조를 갖는 코드북을 이용한 벡터 양자화 기법)

  • 김영근;라정범
    • Journal of the Korean Institute of Telematics and Electronics B
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    • v.32B no.11
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    • pp.153-162
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    • 1995
  • When vector quantization is used in low rate image coding (e.g., R<0.5), the primary problem is the tremendous computational complexity which is required to search the whole codebook to find the closest codevector to an input vector. Since the number of code vectors in a vector quantizer is given by an exponential function of the dimension. i.e., L=2$^{nR}$ where Rn. To alleviate this problem, a multiple shell structure of hypercube feature maps (MSSHFM) is proposed. A binary HFM of k-dimension is composed of nodes at hypercube vertices and a multiple shell architecture is constructed by surrounding the k-dimensional hfm with a (k+1)-dimensional HFM. Such a multiple shell construction of nodes inherently has a complete tree structure in it and an efficient partial search scheme can be applied with drastically reduced computational complexity, computer simulations of still image coding were conducted and the validity of the proposed method has been verified.

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Comparison of Collimator Choice on Image Quality of I-131 in SPECT/CT (I-131 SPECT/CT 검사의 에서 조준기 종류에 따른 영상 비교 평가)

  • Kim, Jung Yul;Kim, Joo Yeon;Nam-Koong, Hyuk;Kang, Chun Goo;Kim, Jae Sam
    • The Korean Journal of Nuclear Medicine Technology
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    • v.18 no.1
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    • pp.33-42
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    • 2014
  • Purpose: I-131 scan using High Energy (HE) collimator is generally used. While, Medium Energy (ME) collimator is not suggested to use in result of an excessive septal penetration effects, it is used to improve the sensitivities of count rate on lower dose of I-131. This research aims to evaluate I-131 SPECT/CT image quality using by HE and ME collimator and also find out the possibility of ME collimator clinical application. Materials and Methods: ME and HE collimator are substituted as Siemens symbia T16 SPECT/CT, using I-131 point source and NEMA NU-2 IQ phantom. Single Energy Window (SEW) and Triple Energy Windows (TEW) are applied for image acquisition and images with CTAC and Scatter correction application or not, applied different number of iteration and sub set are reconstructed by IR method, flash 3D. By analysis of acquired image, the comparison on sensitivities, contrast, noise and aspect ratio of two collimators are able to be evaluated. Results: ME Collimator is ahead of HE collimator in terms of sensitivity (ME collimator: 188.18 cps/MBq, HE collimator: 46.31 cps/MBq). For contrast, reconstruction image used by HE collimator with TEW, 16 subset 8 iteration applied CTAC is shown the highest contrast (TCQI=190.64). In same condition, ME collimator has lower contrast than HE collimator (TCQI=66.05). The lowest aspect ratio for ME collimator and HE collimator are 1.065 with SEW, CTAC (+) and 1.024 with TEW, CTAC (+) respectively. Conclusion: Selecting a proper collimator is important factor for image quality. This research finding tells that HE collimator, which is generally used for I-131 scan emitted high energy ${\gamma}$-ray is the most recommendable collimator for image quality. However, ME collimator is also applicable in condition of lower dose, lower sensitive if utilizing energy window, matrix size, IR parameter, CTAC and scatter correction appropriately.

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VALIDATION OF SEA ICE MOTION DERIVED FROM AMSR-E AND SSM/I DATA USING MODIS DATA

  • Yaguchi, Ryota;Cho, Ko-Hei
    • Proceedings of the KSRS Conference
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    • 2008.10a
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    • pp.301-304
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    • 2008
  • Since longer wavelength microwave radiation can penetrate clouds, satellite passive microwave sensors can observe sea ice of the entire polar region on a daily basis. Thus, it is becoming popular to derive sea ice motion vectors from a pair of satellite passive microwave sensor images observed at one or few day interval. Usually, the accuracies of derived vectors are validated by comparing with the position data of drifting buoys. However, the number of buoys for validation is always quite limited compared to a large number of vectors derived from satellite images. In this study, the sea ice motion vectors automatically derived from pairs of AMSR-E 89GHz images (IFOV = 3.5 ${\times}$ 5.9km) by an image-to-image cross correlation were validated by comparing with sea ice motion vectors manually derived from pairs of cloudless MODIS images (IFOV=250 ${\times}$ 250m). Since AMSR-E and MODIS are both on the same Aqua satellite of NASA, the observation time of both sensors are the same. The relative errors of AMSR-E vectors against MODIS vectors were calculated. The accuracy validation has been conducted for 5 scenes. If we accept relative error of less than 30% as correct vectors, 75% to 92% of AMSR-E vectors derived from one scene were correct. On the other hand, the percentage of correct sea ice vectors derived from a pair of SSM/I 85GHz images (IFOV = 15 ${\times}$ 13km) observed nearly simultaneously with one of the AMSR-E images was 46%. The difference of the accuracy between AMSR-E and SSM/I is reflecting the difference of IFOV. The accuracies of H and V polarization were different from scene to scene, which may reflect the difference of sea ice distributions and their snow cover of each scene.

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A Study on Creative Strategy Related to Expression Advertisement for Missy Brand- Focused on ELLe's Advertisement (Missy Brand 의 고아고 크리에이티브 전략에 관한 연구 - ELLE 광고를 중심으로-)

  • 송윤주;정성혜
    • Journal of the Korean Society of Costume
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    • v.50 no.3
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    • pp.161-178
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    • 2000
  • This study intended to provide the visual basic data of efficient fashion advertising for Missy Brands in the 21 th by investigating and analyzing the creative strategy related to expression of fashion advertisement. The Research methdologies were as follow. First, the change of domestic advertising industry, theoretical background of the creative strategy and the condition and problems in the domestic Missy market were studied through the relevant fashion advertisement and periodical publications. Second, the content analysis was done using the advertisement of Missy Brands in Fashion magazine, " ELLE" which were published from 1992 to 1998. (3/6/9/12). The results were summarized as follows: First, the ELLE's analysis results were to increase in number of the advertisements for the teenager Brand fro 1993 and for the I.B.(Imported Brand) or L.B(License Brand) from 1995. As a result of the analyses, we suppose that a number of advertisements are proportional related to the sales of Brands. Second, the re were significant differences between D.B. (Domestic Brand) and I.B(Imported Brand) or L.B.(License Brand ) in the change of creative strategy for Missy Brands advertisements. The creative strategy of D.B. ads was used more importantly in linsuistic message than in visual message. On the contrary, the creative strategy of I.B.(L.B) ads, attached importance to the visual message(photo). Third, the ads of TIME showed ads, effect to have relevance to sales. The creative strategy of TIME ads. appeals to consumer for consistent Brand image, at the same time reflects the distinctive Brand image from the other. This study was suggested the creative strategy change of TIME through the visual data base.data base.

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Recognition of Car License Plates using Intensity Variation and Color Information (명암변화와 칼라정보를 이용한 차량 번호판 인식)

  • Kim, Pyeoung-Kee
    • The Transactions of the Korea Information Processing Society
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    • v.6 no.12
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    • pp.3683-3693
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    • 1999
  • Most recognition methods of car licence plate have difficulties concerning plate recognition rates and system stability in that restricted car images are used and good image capture environment is required. To overcome these difficulties, I proposed a new recognition method of car licence plates, in which both intensity variation and color information are used. For a captured car image, multiple candidate plate-bands are extracted based on the number of intensity variation. To have an equal performance on abnormally dark and bright Images. plate lightness is calculated and adjusted based on the brightness of plate background. Candidate plate regions are extracted using contour following on plate color pixels in oath plate band. A candidate region is decided as a real plate region after extracting character regions and then recognizing them. I recognize characters using template matching since total number of possible characters is small and they art machine printed. To show the efficiency of the proposed method, I tested it on 200 car images and found that the method shows good performance.

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