A Statistically Efficient Method for Ellipse Detection

نویسندگان

  • Qiang Ji
  • Robert M. Haralick
چکیده

In this paper, we introduce a statistically efficient method f o r detecting ellipses in a n image. Given a set of digital arc segments, we introduce geometric criteria t o select possible pairs of arc segments belonging to the same ellipse. T h e selected arc pairs are subsequently validated or rejected based o n certain statistical criteria via hypothesis testing. The advantages of our technique include: 1) the proposed criteria are scaleinvariant; and 2) they can automatically adapt t o the noise characteristics of each image and do not need t o be adjusted empirically. Performance evaluation of our technique with real images demonstrates its good performance.

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تاریخ انتشار 1999