Abstract
A new measure of the information loss in image segmentation is derived from a set of natural properties. A similar quantity can be used in the quantization of a continuous real random n-vector. A new method for thresholding the grey-level histogram of a picture is then introduced. The method is based on the natural requirement of minimum information loss.
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© 1991 Springer-Verlag Berlin Heidelberg
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Forte, B., Kolbas, V. (1991). Minimum loss of information and image segmentation. In: Bouchon-Meunier, B., Yager, R.R., Zadeh, L.A. (eds) Uncertainty in Knowledge Bases. IPMU 1990. Lecture Notes in Computer Science, vol 521. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0028121
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DOI: https://doi.org/10.1007/BFb0028121
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