Extracting straight lines by sequential fuzzy clustering

نویسندگان

  • Koji Tsuda
  • Michihiko Minoh
  • Katsuo Ikeda
چکیده

In clustering line segments into a straight line, threshold-based methods such as hierarchical clustering are often used. The line segments comprising a straight line often get misaligned due to noise. Thresholdbased methods have di culty clustering such line segments. A new cluster extraction method is proposed to cope with this problem. This method extracts fuzzy clusters one by one using matrix computation. We evaluated our clustering method using hand-written drawings and obtained promising results.

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عنوان ژورنال:
  • Pattern Recognition Letters

دوره 17  شماره 

صفحات  -

تاریخ انتشار 1996