Bayesian Networks for Producing Texture "Tuned" Masks

This paper introduces the principle of producing texture "Tuned" masks with Bayesian Networks(BNs).In order to improve the quality of masks,it also introduces the two kinds of combined methods: Bayesian Networks and ant behavior simulation,Bayesian Networks and simplex method.The experiments show that the texture classification using the new approach has satisfying results.In addition,by comparing to genetic algorithm experimental results demonstrate the proposed method is promising in the application.