• Title/Summary/Keyword: Edge Definition

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Fast Image Stitching Based on Image Edge Line Segmentation Algorithm (이미지 Edge Line Segmentation 알고리즘을 통한 고속 이미지 스티칭 기법)

  • Chae, Hogyun;Park, Healim;Kim, Yunjung;Im, Jiheon;Kim, Kyuheon
    • Proceedings of the Korean Society of Broadcast Engineers Conference
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    • 2018.06a
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    • pp.309-312
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    • 2018
  • 지금까지 영상 콘텐츠 제작 기술의 발전은 SD(Standard Definition)에서 시작하여 HD(High Definition)와 FHD(Full High Definition)를 거쳐, UHD(Ultra High Definition)에 이르기까지 화질을 중심으로 이루어져 왔다. UHD 에 이르며 육안으로는 그 이상의 해상도로 제작된 콘텐츠와 구분하는 것이 힘들어졌으며, 이에 영상 콘텐츠 제작은 화질이 아닌 제한된 촬영 장비들로부터 촬영 방법, 영상 화각의 개선 작업 등으로 그 방향을 전환하고 있다. 이의 연장선 상에서 360 도 영상에 대한 기술개발이 활발히 이루어 지고 있다. 방송 분야에서는 360 도 영상의 실시간 스트리밍 적용 가능성이 모색되고 있는데, 이것이 가능 하려면 대량의 동영상 데이터를 실시간으로 스티칭하여 전달하는 기술이 필요하다. 따라서 고속 이미지 스티칭이 가능해질 경우 실시간 동영상 스티칭을 통해 방송 통신 분야에서의 서비스 향상에 기여할 것으로 보인다. 본 논문은 이미지의 edge 정보를 방향성을 가진 데이터로 분할하여 특징점을 추출하고, 이후 가중치를 통한 특징점 매칭으로 기존의 이미지 스티칭 방법 보다 빠른 속도의 알고리즘을 제안한다.

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Object Motion Detection and Tracking Based on Human Perception System (인간의 지각적인 시스템을 기반으로 한 연속된 영상 내에서의 움직임 영역 결정 및 추적)

  • 정미영;최석림
    • Proceedings of the IEEK Conference
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    • 2003.07e
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    • pp.2120-2123
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    • 2003
  • This paper presents the moving object detection and tracking algorithm using edge information base on human perceptual system The human visual system recognizes shapes and objects easily and rapidly. It's believed that perceptual organization plays on important role in human perception. It presents edge model(GCS) base on extracted feature by perceptual organization principal and extract edge information by definition of the edge model. Through such human perception system I have introduced the technique in which the computers would recognize the moving object from the edge information just like humans would recognize the moving object precisely.

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An Edge Sensitive Image Interpolation (에지 센서티브 이미지 보간)

  • Park, Se-Hee;Kim, Yong-Ha;Lee, Sang-Hoon
    • Journal of KIISE:Computing Practices and Letters
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    • v.15 no.4
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    • pp.294-298
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    • 2009
  • In this study, we proposes the method to improve the quality of the image through the edge extraction more delicately. Our method is named ESII(Edge Sensitive Image Interpolation) and doesn't use the fixed parameter of the interpolation kernel. However, it changes the parameter of pixel which is interpolated to the high definition image using the proper information from the surrounding pixels. It reconstructs the image by using the LSE(Least Square Error) and determining the pixel values to make the CME(Camera Modelling Error) minimized. Compared to the conventional methods, suggested method shows the higher quality of subjective and objective image definition and lessons the computational complexity by separating the image into 1-D data.

Edge Detection using Enhanced Cost Minimization Methods

  • Seong-Hoon Lee
    • International journal of advanced smart convergence
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    • v.13 no.2
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    • pp.88-93
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    • 2024
  • The main problem with existing edge detection techniques is that they have many limitations in detecting edges for complex and diverse images that exist in the real world. This is because only edges of a defined shape are discovered based on an accurate definition of the edge. One of the methods to solve this problem is the cost minimization method. In the cost minimization method, cost elements and cost functions are defined and used. The cost function calculates the cost for the candidate edge model generated according to the candidate edge generation strategy, and if the cost is found to be satisfactory, the candidate edge model becomes the edge for the image. In this study, we proposed an enhanced candidate edge generation strategy to discover edges for more diverse types of images in order to improve the shortcoming of the cost minimization method, which is that it only discovers edges of a defined type. As a result, improved edge detection results were confirmed.

Edge Detection Using the Information of Edge Structural Regions (에지의 구조적 영역정보를 이용한 에지검출)

  • 김수겸;박중순;최정희
    • Journal of Advanced Marine Engineering and Technology
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    • v.24 no.2
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    • pp.82-89
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    • 2000
  • Edge detection is the first step and very important step in image analysis. In this paper, proposed edge detection operators based on informations of edge types and it is different from other classical edge detection operators such as gradient and surface fitting operators. The first, we defined characteristics of edge types such as localization, thinness, length. The second, we defined valid edge types and ideal edge pixel positions in $3\times3$window based on edge characteristics of edge types. And we proposed edge detection algorithm and twelve windows based on valid edge types. In specially, proposed algorithm was shown better performence of edge detection than other operators such as gradient operator and the LoG(Laplacian of Gaussian) operator of zero crossings.

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Study on the Turbulent Edge Propagation Speed of a Lifted Diffusion Flame in Turbulent Mixing Layer (난류 혼합층 확산화염에서 부상선단의 난류전파속도에 대한 연구)

  • Kim, Jun-Hong;Chung, S.H.;Ahn, K.Y.;Kim, J.S.
    • 한국연소학회:학술대회논문집
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    • 2004.11a
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    • pp.55-61
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    • 2004
  • Leading front of a lifted diffusion flame in turbulent mixing layer was investigated in order to find a appropriate definition of the turbulent edge propagation speed. The turbulent lifted diffusion flame was simulated by employing the flame hole dynamics combined with level-set method which yields a temporally evolving turbulent extinction process. By tracing the leading front locations of the temporal flame edges, temporal variations of the liftoff height, local flow velocity, and edge propagation speed at the leading front were investigated and they demonstrated the flame-stabilization condition of the turbulent lifted flame. Finally, a turbulent edge propagation speed was defined and its temporal variation from the simulation was discussed.

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Forest Fragmentation and its impacts : A review (산림파편화에 대한 국내·외 연구동향)

  • Kim, Eunyoung;Song, Wonkyong;Lee, Dong-Kun
    • Journal of the Korean Society of Environmental Restoration Technology
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    • v.15 no.2
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    • pp.149-162
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    • 2012
  • Habitat loss and fragmentation are ongoing major anthropogenic impacts on landscapes, which can strongly affect ecosystems, populations and species. The studies on forest fragmentation have been progressed, but the studies on definition of forest fragmentation and their synthetic trend in South Korea still leaves much to be desired. Therefore we set the definition of forest fragmentation and reviewed the related papers. We can give a definition that forest fragmentation is not only a process of spatial landscape transformation, but also a process of ecosystem change by it. The trend of studies on forest fragmentation divided into two fields, landscape and ecosystem changes. Forest fragmentation caused by land change altered the composition and configuration of forest patches. Most studies related on that analyzed the change using landscape index. The effects of forest fragmentation on ecosystem subdivided into three fields : biodiversity, edge effects, and invasive species, but the studies in South Korea is short. The study on relations between forest fragmentation and ecosystem change is necessary to face the Convention on Biological Diversity in South Korea. In addition, the fundamental studies on biodiversity is important to mitigate against forest fragmentation.

Edge-Based Fast Intra Mode Decision in HEVC

  • Na, Sangkwon;Lee, Wonjae;Lee, Kyohyuk;Yoo, Kiwon
    • Proceedings of the Korean Society of Broadcast Engineers Conference
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    • 2013.06a
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    • pp.180-181
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    • 2013
  • High efficiency video coding (HEVC) appears due to the demand on high compression video coding beyond H.264/AVC in ultra-high definition (UHD) videos. As for intra prediction, HEVC has 35 prediction modes while H.264/AVC has 9 intra modes. To exploit the spatial correlation, we adopt an edge detection method, establish the edge map, and adaptively select the candidate modes using the acquired edge information in a block. The number of the candidate modes is determined through trade-off between computational complexity and coding efficiency. Besides, the range of coding unit sizes is determined using the uniqueness of the edge directions for the given image block. As a result, we reduced the encoding time by 56.8% at the cost of 2.5% BD-BR increase on average compared to Full modes at the HEVC reference software (HM 6.0 [1]).

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Design of Edge Detection Algorithm Based on Adaptive Directional Derivative (적응성 방향 미분에 의한 에지 검출기의 설계 및 평가)

  • Kim, Eun-Mi
    • Journal of Korea Multimedia Society
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    • v.8 no.10
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    • pp.1329-1336
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    • 2005
  • We propose an optimal edge detection algorithm adaptive to the various widths of edges. In order to construct this algorithm, we introduce an alternative definition of edge point and generalize the directional derivatives in the pixel space to obtain an extended directional derivatives beyond scaling. The result from applying our algorithm to a 2D image is analyzed comparing to that from the other algorithm.

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Application of New Edge-to-Edge Contact Algorithm to Discontinuous Deformation Analysis (불연속 변형해석에서의 새로운 선-선 접촉 해석 적용)

  • Lee Chung-In;Moon Young-Sam;Choi Yong-Keun;Ahn Tae-Young
    • Tunnel and Underground Space
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    • v.15 no.4 s.57
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    • pp.305-315
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    • 2005
  • DDA (Discontinuous Deformation Anlaysis) is one of the latest numerical analysis which has merits of both FEM and DEM. In this research a new edge-to-edge contact algorithm was applied on DDA. With adoption of new edge-to-edge contact state definition, sub-algorithm was improved about open-close iteration, contact state judge, contact detecting, and friction forces acting on joints. Newly applied DDA was verified based on two different cases. The DDA results show good agreement with numerically predicted one.