Fig 1.
Example set of masticated chewing gums.
Table 1.
Example of linguistic tags associated to Masticatory Efficiency levels.
Fig 2.
Proposed mastication assessment solution model.
Fig 3.
Comparison of different automatic segmentation methods applied over chewing-gums identification.
The goal of the segmentation process was to discriminate the chewing gum bolus in the centre of the image against the background. Three segmentations methods were employed: Mean Shift (MS), Distance Map (DM) and K-Means (KM).
Fig 4.
Graphical representation of the MEPAT XML schema.
Table 2.
Distribution of time shares of the calibration stage for 400 samples.
Table 3.
List of features selected as mixture state characterizers, showing the model, the colour space channel, the relevancy q score, and the PCA factors for the first 3 principal components.
Table 4.
Performance details derived from the confusion matrix of the trained best trained classifier obtained from the calibration stage.
Table 5.
Masticatory Efficiency (ME) and absolute variance of the histogram of the Hue (VhH) of edentulous individuals measured prior and after treatment with complete dentures.