Fast pairwise nearest neighbor based algorithm for multilevel thresholding

نویسندگان

  • Olli Virmajoki
  • Pasi Fränti
چکیده

We propose a fast pairwise nearest neighbor (PNN)based O(N log N) time algorithm for multilevel nonparametric thresholding, where N denotes the size of the image histogram. The proposed PNN-based multilevel thresholding algorithm is considerably faster than optimal thresholding. On a set of 8 to 16 bits-per-pixel real images, experimental results also reveal that the proposed method provides better quality than the Lloyd-Max quantizer alone. Since the time complexity of the proposed thresholding algorithm is log linear, it is applicable in real-time image processing applications. © 2003 SPIE and IS&T. [DOI: 10.1117/1.1604396]

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عنوان ژورنال:
  • J. Electronic Imaging

دوره 12  شماره 

صفحات  -

تاریخ انتشار 2003