1 October 2003 Fast pairwise nearest neighbor based algorithm for multilevel thresholding
Olli Virmajoki, Pasi Franti
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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) Society of Photo-Optical Instrumentation Engineers (SPIE)
Olli Virmajoki and Pasi Franti "Fast pairwise nearest neighbor based algorithm for multilevel thresholding," Journal of Electronic Imaging 12(4), (1 October 2003). https://doi.org/10.1117/1.1604396
Published: 1 October 2003
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Cited by 21 scholarly publications.
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KEYWORDS
Quantization

Medical imaging

Image segmentation

Algorithm development

Image processing

Image quality

Real time image processing

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