Parallel Texture Region Segmentation using a Pearl Bayes Network
Paul G. Ducksbury · 1993
This paper describes a parallel implementation of a texture segmentation algorithm. The algorithm uses a Pearl Bayes Network (PBN) to combine evidence for the location of urban regions in airborne infra-red linescan images and for the location of driveable regions in autonomous land vehicle imagery. A multilevel PBN approach is introduced and followed by an example which is used to illustrate the derivation of the propagation and fusion equations. The parallel implementation is then described with results demonstrating its effectiveness. 1