A New Fast and Robust Circle Extraction Algorithm

نویسندگان

  • Euijin KIM
  • Miki HASEYAMA
  • Hideo KITAJIMA
چکیده

This paper presents a new algorithm that is capable of extracting circles from complicated and heavily corrupted images. The algorithm uses a least-squares fitting algorithm for arc segments. The arcs are segmented by using the short straight lines which are extracted by a fast line extraction algorithm. The arc segments are used to yield accurate circle parameters. Tests performed on synthetic and real-world images show that the algorithm quickly and accurately extracts circles from complicated and heavily corrupted images.

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تاریخ انتشار 2002