Image segmentation by histogram thresholding using hierarchical cluster analysis

نویسندگان

  • Agus Zainal Arifin
  • Akira Asano
چکیده

This paper proposes a new method of image thresholding by using cluster organization from the histogram of an image. A new similarity measure proposed is based on inter-class variance of the clusters to be merged and the intra-class variance of the new merged cluster. Experiments on practical images illustrate the effectiveness of the new method. 2006 Elsevier B.V. All rights reserved.

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عنوان ژورنال:
  • Pattern Recognition Letters

دوره 27  شماره 

صفحات  -

تاریخ انتشار 2006