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New approach using Bayesian Network to improve content based image classification systems
[article]
2012
arXiv
pre-print
This paper proposes a new approach based on augmented naive Bayes for image classification. Initially, each image is cutting in a whole of blocks. For each block, we compute a vector of descriptors. Then, we propose to carry out a classification of the vectors of descriptors to build a vector of labels for each image. Finally, we propose three variants of Bayesian Networks such as Naive Bayesian Network (NB), Tree Augmented Naive Bayes (TAN) and Forest Augmented Naive Bayes (FAN) to classify
arXiv:1204.1631v1
fatcat:pz2g5ozjanfjfpmye7zs7ybyeu