• DocumentCode
    2223585
  • Title

    Line net global vectorization: an algorithm and its performance evaluation

  • Author

    Song, Jiqiang ; Su, Feng ; Chen, Jibing ; Tai, Chiewlan ; Cai, Shijie

  • Author_Institution
    Dept. of Comput. Sci., Nanjing Univ., China
  • Volume
    1
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    383
  • Abstract
    In this paper, an efficient global algorithm for vectorizing line drawings is presented. It first extracts a seed segment of a graphic entity from a raster image to obtain its direction and width, then tracks the pixels under the guidance of the direction so that the tracking can track through functions and is not affected by noise and degradation of image quality. Thus, an entity will be vectorized in one step without postprocessing. The relations among lines are also used to realize the continuous vectorization of a line net. The speed and quality of vectorization are greatly improved with this algorithm. The performance evaluation is carried out both by theoretical analysis and by experiments. Comparisons with other vectorization algorithms are also made
  • Keywords
    computational geometry; image segmentation; performance evaluation; graphic entity; image quality; line drawings vectorization; line net global vectorization; performance evaluation; raster image; seed segment; Computer graphics; Computer science; Image analysis; Image converters; Image recognition; Image segmentation; Liquefied natural gas; Morphology; Pixel; Text analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Vision and Pattern Recognition, 2000. Proceedings. IEEE Conference on
  • Conference_Location
    Hilton Head Island, SC
  • ISSN
    1063-6919
  • Print_ISBN
    0-7695-0662-3
  • Type

    conf

  • DOI
    10.1109/CVPR.2000.855844
  • Filename
    855844