• DocumentCode
    2626729
  • Title

    Edge Map-Based Texture Synthesis via Graph Cuts

  • Author

    Zou, Kun ; Han, Guoqiang ; Li, Wen ; Zhang, Xiaoyuan ; Gu, Guosheng

  • Author_Institution
    South China Univ. of Technol., Guangzhou
  • fYear
    2007
  • fDate
    21-23 Nov. 2007
  • Firstpage
    1177
  • Lastpage
    1176
  • Abstract
    This paper presents an edge map-based texture synthesis algorithm using graph cuts to find the optimal patch boundaries. It takes the whole sample texture as a patch. In each step, an optimal patch translation with minimum match error is found, and graph cut technique is used to determine the optimal patch boundaries. In the patch translation searching process, edge map is used to measure the structural similarity, and it ensures the edge continuity better preserved. In the graph cut phase, heuristics are introduced to get around the issue that the energy function is not a metric. In this way, patch boundaries are more seamless. Experimental results show that the performance is satisfactory.
  • Keywords
    edge detection; graph theory; image texture; edge continuity; edge map-based texture synthesis; graph cuts; optimal patch boundaries; patch translation searching process; Computer errors; Computer graphics; Computer science; Computer vision; Cost function; Image edge detection; Image processing; Image recognition; Information technology; Optimization methods;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Convergence Information Technology, 2007. International Conference on
  • Conference_Location
    Gyeongju
  • Print_ISBN
    0-7695-3038-9
  • Type

    conf

  • DOI
    10.1109/ICCIT.2007.86
  • Filename
    4420416