GREC’09 Arc Segmentation Contest: A Proposition

نویسندگان

  • Hasan S.M. Al-Khaffaf
  • Abdullah Zawawi Talib
  • Mohd Azam Osman
  • Poh Lee Wong
چکیده

Empirical performance evaluation of raster to vector methods is an important topic in the area of graphics recognition. By studying automatic vectorization methods we can reveal the maturity of the tested methods whether as a research prototype or a commercial software. Arc Segmentation Contest held in conjunction with the eighth IAPR International Workshop on Graphics Recognition (GREC’09) is an excellent opportunity for researchers to present the results of their proposed raster to vector methods. The contest provides a uniform platform where the output of different methods can be analyzed. The relevance of the contest is further revealed by the creation of new test images with their ground truth data. Hence, researchers with raster to vector methods are encouraged to participate in this contest. This paper presents the plan and suggestions for the intended contest.

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تاریخ انتشار 2009