• Title/Summary/Keyword: image analysing system

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A Comparison of System Performances Between Rectangular and Polar Exponential Grid Imaging System (POLAR EXPONENTIAL GRID와 장방형격자 영상시스템의 영상분해도 및 영상처리능력 비교)

  • Jae Kwon Eem
    • Journal of the Korean Institute of Telematics and Electronics B
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    • v.31B no.2
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    • pp.69-79
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    • 1994
  • The conventional machine vision system which has uniform rectangular grid requires tremendous amount of computation for processing and analysing an image especially in 2-D image transfermations such as scaling, rotation and 3-D reconvery problem typical in robot application environment. In this study, the imaging system with nonuiformly distributed image sensors simulating human visual system, referred to as Ploar Exponential Grid(PEG), is compared with the existing conventional uniform rectangular grid system in terms of image resolution and computational complexity. By mimicking the geometric structure of the PEG sensor cell, we obtained PEG-like images using computer simulation. With the images obtained from the simulation, image resolution of the two systems are compared and some basic image processing tasks such as image scaling and rotation are implemented based on the PEG sensor system to examine its performance. Furthermore Fourier transform of PEG image is described and implemented in image analysis point of view. Also, the range and heading-angle measurement errors usually encountered in 3-D coordinates recovery with stereo camera system are claculated based on the PEG sensor system and compared with those obtained from the uniform rectangular grid system. In fact, the PEC imaging system not only reduces the computational requirements but also has scale and rotational invariance property in Fourier spectrum. Hence the PEG system has more suitable image coordinate system for image scaling, rotation, and image recognition problem. The range and heading-angle measurement errors with PEG system are less than those of uniform rectangular rectangular grid system in practical measurement range.

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Morphological Variation Classification of Red Blood Cells using Neural Network Model in the Peripheral Blood Images (말초혈액영상에서 신경망 모델을 이용한 적혈구의 형태학적 변이 분류)

  • Kim, Gyeong-Su;Kim, Pan-Gu
    • The Transactions of the Korea Information Processing Society
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    • v.6 no.10
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    • pp.2707-2715
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    • 1999
  • Recently, there have been researches to automate processing and analysing images in the medical field using image processing technique, a fast communication network, and high performance hardware. In this paper, we propose a system to be able to analyze morphological abnormality of red-blood cells for peripheral blood image using image processing techniques. To do this, we segment red-blood cells in the blood image acquired from microscope with CCD camera and then extract UNL fourier features to classify them into 15 classes. We reduce the number of multi-variate features using PCA to construct a more efficient classifier. Our system has the best performance in recognition rate, compared with two other algorithms, LVQ3 and k-NN. So, we show that it can be applied to a pathological guided system.

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Wafer Map Image Analysis Methods in Semiconductor Manufacturing System (반도체 공정에서의 Wafer Map Image 분석 방법론)

  • Yoo, Youngji;An, Daewoong;Park, Seung Hwan;Baek, Jun-Geol
    • Journal of Korean Institute of Industrial Engineers
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    • v.41 no.3
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    • pp.267-274
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    • 2015
  • In the semiconductor manufacturing post-FAB process, predicting a package test result accurately in the wafer testing phase is a key element to ensure the competitiveness of companies. The prediction of package test can reduce unnecessary inspection time and expense. However, an analysing method is not sufficient to analyze data collected at wafer testing phase. Therefore, many companies have been using a summary information such as a mean, weighted sum and variance, and the summarized data reduces a prediction accuracy. In the paper, we propose an analysis method for Wafer Map Image collected at wafer testing process and conduct an experiment using real data.

Gray scale image histogram using the horizontal edge information search (그레이스케일 히스토그램을 이용한 에지의 수평 정보획득 영상검색)

  • Jung, Il-Hoe;Park, Jong-An
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2008.05a
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    • pp.151-154
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    • 2008
  • In this paper, this program which is Retrieval System using Image Gray-scale histogram and Edge features is used to reduce the errors incurred by inputting methods which are used in a current Retrieval System. The Retrieval Algorithm is proceeding with several steps which are extracting features of images quality, extracting edge features and refining images, analysing extracted features, retaining important information from analyzed features, retrieving retained information from database, extracting and comparing among images from retrieved database. The proposed Retrieval System is used for a fast retrieval with accuracy and it is confirmed through simulations.

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A Semantic Analysis of Children's Clothing Advertisement in Magazines (잡지광고에 나타난 아동복 의미분석)

  • 이경화;나수임
    • The Research Journal of the Costume Culture
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    • v.11 no.1
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    • pp.135-152
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    • 2003
  • The purpose of this study is to analyze the symbolic meaning which is immanent in the children´s clothing advertisement text. For the purpose of this research, this study used the semiotic method which are in parallel. Namely, rearranged the R. Barthes´theory and S. Chapman's analysing frame in order to decode meaning which is immanent in the advertisement text, and 1 coded children's clothing advertisement according to the market fractionation cause (age. sex and brand image), and analysed the paradigmatic meaning and socio-cultural meaning- As a result, to carry on the effective children's clothing advertisements. the discriminate paradigmatic system which corresponds with the concept of company brand and the quality of the target consumer should be selected, and the purchaser volition considering desire of target consumer's self image and brand image should be made. Futhermore it should be the social-cultural product reflecting a phenomenon in the social-cultural actual condition. Therefore we must understand the social-cultural meaning in the children's clothing advertisement and then have to establish an advertisement strategy.

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Mixing Characteristics of Static Mixers for Emulsion Oil (이멀션유 정적믹서의 혼합특성 연구)

  • 김기성;박상규
    • Proceedings of the Korean Society of Marine Engineers Conference
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    • 2000.11a
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    • pp.91-98
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    • 2000
  • The fuels of water-in-oil emulsion have a potential of reducing PM(Particulate Matter) and NOx emissions, and increassing combustion efficiency in the furnaces and the burners. For making the most of the beneficial of the secondary atomization due to the microexplosion, the water droplets distributed in the oil must have the optimal sizes. The purpose of this paper is to investigate the water droplet size distribution characteristics of the different types of the static mixers. For analysing the size distribution characteristics efficiently, image analysis system was constructed and an appropriate image processing algorithm was developed. Two kinds of static mixers: Kenics type and RF type, were tested. As a results, RF type static mixer shows a better characteristics in the mean drop sizes, particularly in the condition of high water content.

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Orthoscopic real image reconstruction in integral imaging by modifying coordinate of elemental image (집적영상에서 요소영상의 좌표변환을 이용한 정치실영상 구현)

  • Jang, Jae-young;Cho, Myungjin
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.19 no.7
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    • pp.1646-1652
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    • 2015
  • In this paper, we propose a depth conversion method for orthoscopic real image reconstruction in integral imaging. Pseudoscopic image has been regarded a problem in conventional integral imaging. the depth of reconstructed image is depending on a coordinate of an elemental image. The conversion from pseudoscopic to orthoscopic may be possible by analysing the geometrical relation between pickup and reconstruction system of elemental image. The feasibility of the proposed method has been confirmed through preliminary experiments as well as ray optical analysis.

The User Support 3D Form Generation System Establishment (사용자 지향적 3차원 형태발상 지원 시스템 구축)

  • Cho, Dong Min
    • Journal of Korea Multimedia Society
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    • v.17 no.9
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    • pp.1115-1124
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    • 2014
  • The objective of this study is to present a new design method at the idea brainstorming process, which requires a great deal of time and effort to seek their own ideas in existing design process and to develop a user support idea forms generation system called OCIGS (Openware Creative Idea Generation System) that makes it possible to create a variety and 3D forms as well as a quantitative evaluation data for the actual types that compose the aesthetic factors and designs of qualitative standards. In order to achieve these objectives : First, overcoming the limitation of 3D form generation ability by establishing visual application system, Second, accepting users' opinions by generating 3D images dynamically, analysing and giving information on the preferred ones on the web on real time, Third, identifying tendency of preference so that they can generate preferred colors and images in future by updating image combination and dropping low-preferred ones. This system would play a role as an idea or form generation application in the actual 3d form design development process.

Design and Implementation of the System for Automatic Classification of Blood Cell By Image Analysis (영상분석을 통한 혈구자동분류 시스템의 설계 및 구현)

  • Kim, Kyung-Su;Kim, Pan-Koo
    • Journal of the Korean Institute of Telematics and Electronics C
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    • v.36C no.12
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    • pp.90-97
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    • 1999
  • Recently, there have been many researches to automate processing and analysing image data in medical field, due to the advance of image processing techniques, the fast communication network and high performance hardware. In this paper, we design and implement the system based on the multi-layer neural network model to be able to analyze, differentiate and count blood cells in the peripheral blood image. To do these, we segment red and white-blood cell in blood image acquired from microscope with CCD(Charge-coupled device) camera and then apply the various feature extraction algorithms to classify. In addition to, we reduce multi-variate feature number using PCA(Principle Component Analysis) to construct more efficient classifier. So, in this paper, we are sure that the proposed system can be applied to a pathological guided system.

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The Influence of Hemosialysis to the Face Color of Patients in End Stage Renal Disease (말기신부전 환자의 혈액투석 치료가 안면 색에 미치는 영향)

  • Lee, Se-Hwan;Cho, Dong-Uk
    • The KIPS Transactions:PartB
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    • v.17B no.6
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    • pp.437-444
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    • 2010
  • In this paper, we propose a method of analysing the relation between the patient's face color and his(her) kidney disease using image processing technology. This method is based on the ocular inspection which is one of the most famous diagnosis methods used in the oriental medical system. The way of processing and analysing the face image, which is for visualization and objectification of the color difference, is included. The objects are selected from the patients who suffer the kidney disease and use the hemodialyzer. Their facial images and clinical data are collected. From these data, we propose a hypothesis that the color of the patient's face is changed according to the patient's kidney state. At the same time, we present two algorithms of extracting the specific part of face which can identify the state of the patient's kidney and tracing the history of the color's change. This proposed method is evaluated through the practical experiments and their analysis.