• Title/Summary/Keyword: Graph Cut

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Proposal of Minimum Spanning Tree Algorithm using 2-Edges Connected Grap (2-간선 연결 그래프를 사용한 최소신장트리 알고리즘 제안)

  • Lee, Sang-Un
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.14 no.4
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    • pp.233-241
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    • 2014
  • This paper suggests a fast minimum spanning tree algorithm which simplify the original graph to 2-edge connected graph, and using the cycling property. Borůvka algorithm firstly gets the partial spanning tree using cycle property for one-edge connected graph that selects the only one minimum weighted edge (e) per vertex (v). Additionally, that selects minimum weighted edge between partial spanning trees using cut property. Kruskal algorithm uses cut property for ascending ordered of all edges. Reverse-delete algorithm uses cycle property for descending ordered of all edges. Borůvka and Kruskal algorithms always perform |e| times for all edges. The proposed algorithm obtains 2-edge connected graph that selects 2 minimum weighted edges for each vertex firstly. Secondly, we use cycle property for 2-edges connected graph, and stop the algorithm until |e|=|v|-1 For actual 10 benchmark data, The proposed algorithm can be get the minimum spanning trees. Also, this algorithm reduces 60% of the trial number than Borůvka, Kruskal and Reverse-delete algorithms.

Speaker Change Detection Based on a Graph-Partitioning Criterion

  • Seo, Jin-Soo
    • The Journal of the Acoustical Society of Korea
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    • v.30 no.2
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    • pp.80-85
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    • 2011
  • Speaker change detection involves the identification of time indices of an audio stream, where the identity of the speaker changes. In this paper, we propose novel measures for the speaker change detection based on a graph-partitioning criterion over the pairwise distance matrix of feature-vector stream. Experiments on both synthetic and real-world data were performed and showed that the proposed approach yield promising results compared with the conventional statistical measures.

A Robust Object Extraction Method for Immersive Video Conferencing (몰입형 화상 회의를 위한 강건한 객체 추출 방법)

  • Ahn, Il-Koo;Oh, Dae-Young;Kim, Jae-Kwang;Kim, Chang-Ick
    • Journal of the Institute of Electronics Engineers of Korea SP
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    • v.48 no.2
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    • pp.11-23
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    • 2011
  • In this paper, an accurate and fully automatic video object segmentation method is proposed for video conferencing systems in which the real-time performance is required. The proposed method consists of two steps: 1) accurate object extraction on the initial frame, 2) real-time object extraction from the next frame using the result of the first step. Object extraction on the initial frame starts with generating a cumulative edge map obtained from frame differences in the beginning. This is because we can estimate the initial shape of the foreground object from the cumulative motion. This estimated shape is used to assign the seeds for both object and background, which are needed for Graph-Cut segmentation. Once the foreground object is extracted by Graph-Cut segmentation, real-time object extraction is conducted using the extracted object and the double edge map obtained from the difference between two successive frames. Experimental results show that the proposed method is suitable for real-time processing even in VGA resolution videos contrary to previous methods, being a useful tool for immersive video conferencing systems.

A Depth Creation Method Using Frequency Based Focus/Defocus Analysis In Image (영상에서 주파수 기반의 초점/비초점 분석을 이용한 깊이 지도 생성 기법)

  • Lee, Seung Kap;Park, Young Soo;Lee, Sang Hun
    • Journal of Digital Convergence
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    • v.12 no.11
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    • pp.309-316
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    • 2014
  • In this paper, we propose an efficient detph map creation method using Graph Cut and Discrete Wavelet Transform. First, we have segmented the original image by using Graph Cut to process with its each areas. After that, the information which describes segmented areas of original image have been created by proposed labeling method for segmented areas. And then, we have created four subbands which contain the original image's frequency information. Finally, the depth map have been created by frequency map which made with HH, HL subbands and depth information calculation along the each segmented areas. The proposed method can perform efficient depth map creation process because of dynamic allocation using depth information. We also have tested the proposed method using PSNR(Peak Signal to Noise Ratio) method to evaluate ours.

Interactive image segmentation for ultrasound vascular imaging (초음파 혈관 영상의 상호적 영상 분할)

  • Lee, Onseok;Kim, Mingi;Ha, Seunghan
    • Journal of the Korea Convergence Society
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    • v.3 no.4
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    • pp.15-21
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    • 2012
  • Image segmentation for object to extract data from ultrasound acquired is an essential preprocessing step for the effective diagnosis. Various image segmentation methods have been studied. In this study, interactive image segmentation method by graph cut algorithm is proposed to develop a variety of applications of vascular ultrasound imaging and diagnostics. General imaging and vascular ultrasound imaging segmentation by entering constrain condition such as foreground and background. In the future it will be able to develop new ultrasound diagnostics.

Solving a Path Assignment Problem using s-t Cuts (그래프의 s-t 절단을 이용한 경로 배정 문제 풀이)

  • Kim, Tae-Jung
    • Journal of the Korean Society for Precision Engineering
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    • v.26 no.2
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    • pp.141-147
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    • 2009
  • We introduce a noble method to find a variation of the optimal path problem. The problem is to find the optimal decomposition of an original planar region such that the number of paths in the region is minimized. The paths are required to uniformly cover each subregion and the directions of the paths in each sub-region are required to be either entirely vertical or entirely horizontal. We show how we can transform the path problem into a graph s-t cut problem. We solve the transformed s-t cut problem using the Ford-Fulkerson method and show its performance. The approach can be used in zig-zag milling and layerd manufacturing.

A Study on Graph Partitioning for Graph Query Processing in Distributed System (분산 환경에서 그래프 질의 수행을 위한 그래프 분할 기법 조사)

  • Lee, Wonseok;Ko, Seoungyun;Seo, Myeongwon;Lee, Jeong-Hoon;Han, Wook-Shin
    • Proceedings of the Korea Information Processing Society Conference
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    • 2019.10a
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    • pp.734-736
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    • 2019
  • 그래프 분할 기법은 분산 환경에서 그래프 질의 수행에 있어 통신 비용을 줄이고 부하 균형을 맞추고자 그래프의 정점과 간선들을 여러 머신들에 나누어 저장하는 방법이다. 본 논문에서는 그래프 질의 수행에 관한 지식을 정리하고, 간선 절단 기법(edge-cut), 정점 절단 기법(vertex-cut), 하이브리드 절단 기법(hybrid-cut)으로 알려진 대표적인 그래프 분할 기법과 최신 그래프 시스템들의 그래프 분할 기법을 소개하고 비교한다.

THE CONNECTIVITY AND THE MODIFIED SECOND MULTIPLICATIVE ZAGREB INDEX OF GRAPHS

  • DU, JIANWEI;SUN, XIAOLING
    • Journal of applied mathematics & informatics
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    • v.39 no.3_4
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    • pp.339-358
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    • 2021
  • Zagreb indices and their modified versions of a molecular graph are important descriptors which can be used to characterize the structural properties of organic molecules from different aspects. In this work, we investigate some properties of the modified second multiplicative Zagreb index of graphs with given connectivity. In particular, we obtain the maximum values of the modified second multiplicative Zagreb index with fixed number of cut edges, or cut vertices, or edge connectivity, or vertex connectivity of graphs. Furthermore, we characterize the corresponding extremal graphs.

Network topology에 대하여 1

  • 고명삼
    • 전기의세계
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    • v.14 no.4
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    • pp.28-35
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    • 1965
  • Kirchhoff는 유향성 선형 graph에 포함되어 있는 입상기하학적인 특성, 즉 주어진graph의 모든 정점과 변들의 연결상태를 0, +1, -1의 세가지 수자로 된 소위 incidence행렬란 개념으로 집약시켰다. 본 고에서는 Incidence Matrix, Tie-set Matrix과 연결지 전류(link current), Cut-set Matrix과 절점대 전압(Node pair voltage), Tie-set및 cut-set행렬의 선형변환, Duality(쌍대성)

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