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Journal of Applied Sciences
  Year: 2008 | Volume: 8 | Issue: 5 | Page No.: 772-779
DOI: 10.3923/jas.2008.772.779
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Image Thresholding Using Weighted Parzen-Window Estimation

Wang Jun and Wang Shitong

A novel image thresholding method based on weighted Parzen-window estimation is proposed in this paper. A hierarchical clustering procedure is first performed to obtain the reference pixels and weights before the weighted Parzen-window procedure is used to estimate the corresponding probabilities. The error produced during reference pixels` generation is controlled by the upper bound error. Using the proposed criterion function, the optimal threshold is computed. Compared with the image thresholding method based on Parzen-window estimation. The experimental results here show that the proposed method can effectively reduce the computational burden and storage requirements without degrading final segmentation results a lot.
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How to cite this article:

Wang Jun and Wang Shitong, 2008. Image Thresholding Using Weighted Parzen-Window Estimation. Journal of Applied Sciences, 8: 772-779.

DOI: 10.3923/jas.2008.772.779






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