• Title/Summary/Keyword: EDGE

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Edge Compensation Algorithm by Extracting the Skeletons from the Uplifted Image (융기된 영상의 골격선 추출에 의한 에지 보정 알고리듬)

  • Park, Mi-Jin;Yang, Yeong-Il;Park, Jung-Jo
    • Journal of the Institute of Electronics Engineers of Korea SP
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    • v.38 no.6
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    • pp.675-683
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    • 2001
  • In this paper, we propose the edge compensation algorithm which connects the adjacent edges without losing the information of the skeletons on the edge image. The proposed edge compensation algorithm is composed of succeeding two steps. In the first step, the uplifted image is obtained by uplifting the edge image repeatedly. The next step is to extract the edge image from the uplifted image using the skeleton extraction algorithm. Experimental results show that the proposed method connects the adjacent edges without the distortion of the original edge information compared to the traditional method.

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EDGE COVERING COLORING OF NEARLY BIPARTITE GRAPHS

  • Wang Ji-Hui;Zhang Xia;Liu Guizhen
    • Journal of applied mathematics & informatics
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    • v.22 no.1_2
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    • pp.435-440
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    • 2006
  • Let G be a simple graph with vertex set V(G) and edge set E(G). A subset S of E(G) is called an edge cover of G if the subgraph induced by S is a spanning subgraph of G. The maximum number of edge covers which form a partition of E(G) is called edge covering chromatic number of G, denoted by X'c(G). It is known that for any graph G with minimum degree ${\delta},\;{\delta}-1{\le}X'c(G){\le}{\delta}$. If $X'c(G) ={\delta}$, then G is called a graph of CI class, otherwise G is called a graph of CII class. It is easy to prove that the problem of deciding whether a given graph is of CI class or CII class is NP-complete. In this paper, we consider the classification of nearly bipartite graph and give some sufficient conditions for a nearly bipartite graph to be of CI class.

An Edge Detection Algorithm using Modified Mask in AWGN Environment (AWGN 환경에서 변형된 마스크를 이용한 에지 검출 알고리즘)

  • Lee, Chang-Young;Kim, Nam-Ho
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2013.05a
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    • pp.892-894
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    • 2013
  • Edge has been utilized in various application fields with development of technique of digital image processing. In conventional edge detection methods, there are some methods using mask including Sobel, Prewitt, Roberts and Laplacian operator. Those methods are that implement is simple but generates errors of edge detection in images added AWGN(additive white Gaussian noise). Therefore, to compensate the defect of those methods, in this paper, an edge detection algorithm using modified mask is proposed, and it showed superior edge detection property in AWGN.

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A Study on Edge Detection using Weighted Value with Threshold (임계값에 따른 가중치를 이용한 에지 검출에 관한 연구)

  • Lee, Chang-Young;Hwang, Yeong-Yeun;Kim, Nam-Ho
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2013.05a
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    • pp.886-888
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    • 2013
  • An edge includes information of objects such as magnitude, orientation, and location. Conventional edge detection methods to detect those edge are methods using Sobel, Prewitt, Roberts, Laplacian operator. Existing methods use fixed weighted mask to detect edges, and their edge detection characteristics are insufficient. Therefore, to remedy weakness of conventional methods, in this paper, an edge detection algorithm using weight with standard deviation and thresholds is proposed.

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Prediction of Edge-cracking Generation in Cold Rolling (냉간압연에서 Edge-cracking 발생 예측에 관한 연구)

  • Son, Y.K.;Lee, S.H.;Lee, J.B.;Lee, S.J.;Kim, B.M.
    • Proceedings of the Korean Society for Technology of Plasticity Conference
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    • 2009.04a
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    • pp.117-120
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    • 2009
  • The rolling of flat slabs or sheet metal is probably the most advanced technique of metalworking technology. In spite of this very intensive activity, the problem if edge cracking has not been resolved. Although edge cracking is a major industrial problem, relatively little well-documented experimental work has been published on subject. Despite the paucity of exact experiments, it is reasonably certain from published data that three causes contribute to its occurrence; (1) limited ductility of the rolled material (2) uneven deformation at the edges and (3) variations in stresses along the width of the rolled material, particular near the edge. The present study was carried out to show the generation of edge cracking using ductile fracture criteria and FE-simulation. The validity of simulated results was verified by rolling experiments of steel strip.

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Correlation between Edge Scab and Corner Cracks on a Slab in Hot Strip Mill (열연 슬라브 모서리 크랙과 에지-스캡 결함의 연관성)

  • Kwon, H.C.;Lee, S.J.
    • Proceedings of the Korean Society for Technology of Plasticity Conference
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    • 2009.04a
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    • pp.73-76
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    • 2009
  • Increase in tensile strength of steel is important for fuel efficiency and $CO_2$ reduction. But the higher the strip strength, the more defect could be generated in hot strip mill. This study focuses on line-type edge scab. One of the causes for the defect is initial edge cracks commonly observed on a slab but their correlation has not been verified yet. Thus, the objective of this report is to verify if the edge crack is exactly the seed for edge scab. For this, we conducted pilot hot rolling test with cracked slab and compared the development of cracks and edge scabs on hot-rolled strip.

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Estimation of Real Boundary with Subpixel Accuracy in Digital Imagery (디지털 영상에서 부화소 정밀도의 실제 경계 추정)

  • Kim, Tae-Hyeon;Moon, Young-Shik;Han, Chang-Soo
    • Journal of the Korean Society for Precision Engineering
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    • v.16 no.8
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    • pp.16-22
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    • 1999
  • In this paper, an efficient algorithm for estimating real edge locations to subpixel values is described. Digital images are acquired by projection into image plane and sampling process. However, most of real edge locations are lost in this process, which causes low measurement accuracy. For accurate measurement, we propose an algorithm which estimates the real boundary between two adjacent pixels in digital imagery, with subpixel accuracy. We first define 1D edge operator based on the moment invariant. To extend it to 2D data, the edge orientation of each pixel is estimated by the LSE(Least Squares Error)line/circle fitting of a set of pixels around edge boundary. Then, using the pixels along the line perpendicular to the estimated edge orientation the real boundary is calculated with subpixel accuracy. Experimental results using real images show that the proposed method is robust in local noise, while maintaining low measurement error.

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Aerodynamic Characteristics of Delta Wing According to Leading Edge Geometries (앞전 형상에 따른 삼각 날개의 공력 특성)

  • Jin, Hak-Su;Kim, Sung-Cho;Kim, Jeong-Soo;Choi, Jong-Wook
    • Journal of the Korean Society of Visualization
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    • v.5 no.2
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    • pp.56-63
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    • 2007
  • Flow visualization and aerodynamic characteristics of delta wings with two different leading edge geometries are investigated by PIV system and wind tunnel balance when the Reynolds number is about based on the freestream velocity and the root chord length. Delta wing models have 65-deg swept angle, and the leading edge shapes are divided into round- and sharp- type. The experimental results indicated that the leading-edge vortex strength and aerodynamic coefficient in the round leading edge are stronger and more, respectively than those in the sharp one. Therefore the flow interactions between vortices and the boundary layer are more desirable or more rapidly swirled in the round-type leading edge.

Effective Noise Suppression in Edge Region Using Modified Wiener Filter (수정된 Wiener 필터를 사용한 에지 영역에서의 효과적인 잡음 제거)

  • Song Young-Chul
    • The Transactions of the Korean Institute of Electrical Engineers D
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    • v.52 no.3
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    • pp.173-180
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    • 2003
  • The modified Wiener filtering method is proposed for effective noise suppression in edge region of images corrupted by additive white gaussian noise. Although the pixels classified as a edge region in the conventional Wiener filter have lots of noise components, the conventional Wiener filler cannot remove noise effectively due to the preserving of edges. To reduce noise well in edge region, we modify filter coefficients of the conventional Wiener filter The modified filter coefficients increase in noise suppression effect In edge region, while they preserve edges for strong edge region. From simulation $(256{\time}256$ size, 256 graylevel images) filtered images by the proposed method show much improved subjective image quality with some improved peak signal-to-noise ratio compared to those by the conventional Wiener filtering.

Implementation of SDN testbed for performance analysis of Edge Computing (Edge Computing의 성능 분석을 위한 SDN 테스트베드 구축 방안)

  • Lim, Hwan-Hee;Lee, Byung-Jun;Kim, Kyung-Tae;Youn, Hee-Yong
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2018.01a
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    • pp.5-6
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    • 2018
  • Edge Computing의 성능 분석을 위해 SDN 테스트 베드를 구축하는 방안을 제안한다. Edge Computing 환경에서 연구한 알고리즘들을 실증적 성능 테스트하기 위해 테스트베드를 구축하였다. Raspberry-Pi를 이용해 SDN Switch를 구현하였고, Edge단의 노드는 테스트를 위해 노트북을 연결해 인터넷이 되는지 확인하였다. Edge Computing 환경은 수 많은 노드를 연결해 테스트해야 하며 따라서 SDN 환경이 적절하다. 본 논문에서는 SDN에 대해서 알아보고 Raspberry-Pi를 이용한 테스트 베드 구축 방안에 대해 소개하고자 한다.

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