• Title/Summary/Keyword: Image Process

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DEM Estimation Using Two Stage Stereo Matching Method (2단계 스테레오 정합기법을 이용한 DEM 추정)

  • Nam, Chang-Woo;Woo, Dong-Min
    • Proceedings of the KIEE Conference
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    • 2000.07d
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    • pp.3044-3046
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    • 2000
  • A Stereo matching has been an important tool for reconstructing three dimensional terrain. In this stereo matching process, DEM(Digitai Elevation Map) can be generated by the disparity from reference image to target image. Generally disparity map in matching process can be implemented by wraping from reference image to target image and if the role of reference and target is interchanged, the different DEM can be obtained. To evaluate the generated DEM from matching process, We adapted the Photorealistic synthetic image generator using ray tracing technique. The generator produce two simulated image from previous DEM and Ortho-image which is regard as Ground-truth. In this paper, we are concern about estimating more accurate DEM from these two DEMs. The several fusion methods of two DEMs are proposed to generate accurate DEM and compared with previous method. one of fusion methods is by using Cross-Correlation match score and the true DEM should have a high matching score.

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Pulverized Coal Injection System Development to Raise Combustion Efficiency of a Blast Furnace (고로미분탄 취입랜스의 연소효율 향상을 위한 노즐 제어의 최적화)

  • Choi, Seung-Hyun;Kwak, Na-Soo;Kim, Jae-Yeol
    • Journal of the Korean Society of Manufacturing Technology Engineers
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    • v.18 no.6
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    • pp.690-696
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    • 2009
  • This paper introduces the automatic fine Bituminous Coal injection lance position control method using flame image process. The fine Coal injection lance is used to supply additional heat into the furnace in Mill plant. It injects fine coal into high pressured air flow and produces very heated and high pressured flame. For the such high temperature and pressure, the fine coal injection lance effects not only efficiency of burner but also furnace abrasion. To keep efficient combustion status and to avoid the abrasion, in this paper, the flame is monitored by computer image process. This paper proposes the flame image process method and lance position control according to calculated result for flame image process.

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Development and Characterization of Pattern Recognition Algorithm for Defects in Semiconductor Packages

  • Kim, Jae-Yeol;Yoon, Sung-Un;Kim, Chang-Hyun
    • International Journal of Precision Engineering and Manufacturing
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    • v.5 no.3
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    • pp.11-18
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    • 2004
  • In this paper, the classification of artificial defects in semiconductor packages is studied by using pattern recognition technology. For this purpose, the pattern recognition algorithm includes the user made MATLAB code. And preprocess is made of the image process and self-organizing map, which is the input of the back-propagation neural network and the dimensionality reduction method, The image process steps are data acquisition, equalization, binary and edge detection. Image process and self-organizing map are compared to the preprocess method. Also the pattern recognition technology is applied to classify two kinds of defects in semiconductor packages: cracks and delaminations.

Space-Variant B-Spline Functions for Image Interpolation (영상보간을 위한 공간변화(Space-Variant) B-Splin 함수)

  • 이병길;김순자;하영호
    • The Transactions of the Korean Institute of Electrical Engineers
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    • v.40 no.4
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    • pp.394-401
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    • 1991
  • B-spline function is generally used for an image interpolation because of its smoothness and continuity, but it accompanies a large amount of blurring effect. In this paper, a space-variant B-spline interpolation function is proposed through deblurring process followed by de-aliasing process. The proposed function has parametric expression and performs smoothing and edge-enhancement adaptively in the interpolation process according to local property of the image. Application of this function to image enlargement, rotation, and curve representation producted good results. Even in the presence of noise, noise smoothing effect as well as edge-enhancement were observed in the image interpolation process.

A Efficient Image Separation Scheme Using ICA with New Fast EM algorithm

  • Oh, Bum-Jin;Kim, Sung-Soo;Kang, Jee-Hye
    • Journal of the Korean Institute of Intelligent Systems
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    • v.14 no.5
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    • pp.623-629
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    • 2004
  • In this paper, a Efficient method for the mixed image separation is presented using independent component analysis and the new fast expectation-maximization(EM) algorithm. In general, the independent component analysis (ICA) is one of the widely used statistical signal processing scheme in various applications. However, it has been known that ICA does not establish good performance in source separation by itself. So, Innovation process which is one of the methods that were employed in image separation using ICA, which produces improved the mixed image separation. Unfortunately, the innovation process needs long processing time compared with ICA or EM. Thus, in order to overcome this limitation, we proposed new method which combined ICA with the New fast EM algorithm instead of using the innovation process. Proposed method improves the performance and reduces the total processing time for the Image separation. We compared our proposed method with ICA combined with innovation process. The experimental results show the effectiveness of the proposed method by applying it to image separation problems.

Effect of Metals used in Orthopedic on Magnetic Resonance Imaging I (정형보철용 금속이 자기공명영상에 미치는 영향 I)

  • Kim, Hyeong-Gyun;Choi, Seong-Dae
    • Journal of the Korean Society of Manufacturing Process Engineers
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    • v.11 no.4
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    • pp.46-50
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    • 2012
  • Stainless steel and titanium used for orthopedic prosthetic metal, magnetic resonance imaging was measured quantitatively the extent of distortion. Based on reading tests at varying metal magnetic resonance imaging (MRI) were investigated. To two image acquisition conditions for having three metal bodies mutually quantitative it compared analyzed the image of cross direction and the image of lengthwise. As for the distortion of the magnetic resonance image, as for the distortion of image it became small in the order of Clip, Strainless and Titanium. In addition, with T1WI and T2WI which are image acquisition condition T2WI the distortion of image became small. As for the distortion of the image by the metal, you could see the distortion of image in elliptical shape, the metal a bigger image distortion appeared in many parts. If clinical doctor has the condition of the same operation, use the Titanium material, it can, raising the diagnostic value of magnetic resonance image inspection after the operating from Stainless.

A Study on the Verbal Image of Interior Decoration Trend from the Year 2000 (2000년 이후 인테리어 데코레이션 트랜드의 언어심상에 관한 연구)

  • Kim, Joo-Yun;Han, Hyo-Jung;Lee, Hye-Kyung
    • Korean Institute of Interior Design Journal
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    • v.15 no.6 s.59
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    • pp.238-246
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    • 2006
  • Recent trends of interior design have a focus on creation of more various meanings rather than past ideology which sought after the compatibility to the function of modem design. These trends requires integral understanding of social and cultural ideologies with a sens of values for a certain periods. In addition, they also require creativity which able to read, find and solve consumer's diverse demand and desire. Considering the effort of trend forecasting in Korea is still heavily rely on the foreign trend shows, it is natural to attempt to study the analytical forecasting methodology based upon more systematic principles which lead to more objective outcome, when the understanding, forcasting and analysis of interior decoration trend are required. In this thesis, the analysis and forecasting of interior decoration trend are studied by means of verbal image code process which involves the induction of design concept through data extraction, classification and analysis, in order to understanding and satisfying the diversified consumer's demand and trend. The coding process of verbal image is understanding as general concept. by extracting common elements from abstract and individual image, and/or specific concept. Therefore, it is proposed that the database building and data mining process of verbal Image, and subsequent development of programming skill can be applied as more efficient tool for various verbal image process.

Study of Image Transmission System Using Image Segmentation (영상 분할을 이용한 영상 전송 시스템에 대한 연구)

  • Kim, Youngseop;Park, Inho;Lee, Yonghwan
    • Journal of the Semiconductor & Display Technology
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    • v.15 no.1
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    • pp.33-35
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    • 2016
  • This paper proposes a method utilizing image compression and transmission method for image segmentation in order to reduce the time required in the process of analyzing the image information that has in the image compression process. Many studies of existing with respect to the image segmentation are being studied as a way to split a lot of a particular part in the image. We divide full image into the N equal parts. And it is compressed using the field coding. This will reduce the time-consuming than using the conventional method.

A Study on the Influence of Brand Level Evaluation on Overall Company Evaluation (브랜드차원의 평가가 기업차원의 이미지전이에 미치는 영향에 관한 연구)

  • Lee, Jiwon;Hao, Yao;Kang, Inwon
    • Knowledge Management Research
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    • v.12 no.3
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    • pp.27-37
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    • 2011
  • It is not uncommon to witness brand image transference which is a development of corporate image from a collection of individual brand images. The brand image transfer process is the influence of consumer attitudes toward certain brands on overall evaluation of the company. To understand the image transfer process, we examine the influence of brand level evaluation on overall company evaluation through food and beverage consumer products in China, where active competitions among global brands exist.

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A study on image area analysis and improvement using denoising technique

  • Moon, Yu-Sung;Kim, Jung-Won
    • Journal of IKEEE
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    • v.25 no.3
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    • pp.544-547
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    • 2021
  • Recently, various display products are being applied to automobiles. In the process of acquiring an image from a display product, a large amount of additive white Gaussian noise(AWGN) is generated. Generally known denoising techniques focus on removing noise, so detailed components including image information are proportionally lost in the process of removing noise. The algorithm proposed in this paper proposes a method to effectively remove noise while preserving the detail of image information.