Represents multiscale feature images as a neighborhood and uses the features to apply a random forest segmentation model to a new image
mrvnrfs.predict(rflist, x, labelmask, rad = NA, multiResSchedule = c(4, 2,
1), asFactors = TRUE)a list of random forest models from mrvnrfs
a list of lists where each list contains feature images
a mask for the features (all in the same image space)
vector of dimensionality d define nhood radius
an integer vector defining multi-res levels
boolean - treat the y entries as factors
list a 4-list with the rf model, training vector, feature matrix and the random mask