The use of variance and entropic thresholding methods for image segmentation

@article{Hannah1995TheUO,
  title={The use of variance and entropic thresholding methods for image segmentation},
  author={Ian Hannah and Devesh Patel and Edward Roy Davies},
  journal={Pattern Recognition},
  year={1995},
  volume={28},
  pages={1135-1143}
}
In this paper, we investigate methods for the automatic thresholding of X-ray images of food packets in order to determine their suitability for the detection of contaminants (or foreign objects) that may be present within. Single and dual threshold schemes based on variance and entropic measures of the image histogram are applied. A modified entropic measure is proposed which decides whether a single or dual threshold is appropriate dependent on the histogram data. The performance of each of… CONTINUE READING
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References

Publications referenced by this paper.
SHOWING 1-10 OF 14 REFERENCES

Entropic thresholding

W.-S. Sheih
  • Signal Process .
  • 1989

A survey of thresholding techniques

  • Computer Vision, Graphics, and Image Processing
  • 1988
VIEW 1 EXCERPT

lllingworth, Minimum error thresholding

J. J. Kittler
  • Pattern Recognition
  • 1986
VIEW 2 EXCERPTS

A new approach, Comput

W.-H. Tsai, Moment-preserving thresholding
  • Vision Graphics Image Process. 29, 377-393
  • 1985
VIEW 2 EXCERPTS

F6glein, Threshold selection based on a simple image statistic, Comput

J. Kittler, J. J. Illingworth
  • Vision Graphics Image Process
  • 1985
VIEW 1 EXCERPT

Histogram concavity analysis as an aid in threshold selection

  • IEEE Transactions on Systems, Man, and Cybernetics
  • 1983
VIEW 3 EXCERPTS