Use of Predictive Coding Distribution for Edge Detection

نویسندگان

  • Bogdan Cramariuc
  • Moncef Gabbouj
چکیده

The purpose of the present paper is to analyze how the predictive distribution estimated using a set of context dependent nonlinear adaptive predictors can be used to localize edges in graylevel images. Since the adaptive predictors have the potential of learning repetitive structure, as those characteristic to certain textures, our predictive edge detection scheme may be a practical way to conceal the relative high contrast of certain texture regions.

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تاریخ انتشار 1998