Vector probability diffusion

Journal Article

A method for isotropic and anisotropic diffusion of vector probabilities in general, and posterior probabilities in particular, is introduced. The technique is based on diffusing via coupled partial differential equations restricted to the semi-hyperplane corresponding to probability functions. Both the partial differential equations and their corresponding numerical implementation guarantee that the vector remains a probability vector, having all its components positive and adding to one. Applying the method to posterior probabilities in classification problems, spatial and contextual coherences is introduced before the MAP decision, thereby improving the classification results.

Duke Authors

Cited Authors

  • Pardo, A; Sapiro, G

Published Date

  • 2000

Published In

  • IEEE International Conference on Image Processing

Volume / Issue

  • 1 /

Start / End Page

  • 884 - 887