Figure 9
From: Discriminative Learning for Automatic Staging of Placental Maturity via Multi-layer Fisher Vector
The procedure of feature vector formation.
The input placental image is first partitioned into patches and each patch is represented by the patch descriptor. GMM is applied to generate k Gaussians based on the assumption of a diagonal covariance matrix. The extracted feature is encoded by FV into histogram of occurrence as feature vector.
