The catalogue contains a total number of ~39 900 galaxies, for which we provide the automated estimates of the morphological type, applying
the purposely devised tool MORPHOT to the V-band WINGS imaging. The used tool is non-parametric and fully empirical. In particular, MORPHOT exploits 21 morphological diagnostics, directly and easily computable from the galaxy image, to provide two independent classifications: one based on a maximum likelihood (ML), semi- analytical technique and the other one on a neural network (NN) machine. A suitably selected sample of ∼1000 visually classified WINGS galaxies is used to calibrate the diagnostics for theML estimator and as a training set in the NN machine. The final morphological estimator combines the two techniques. (http://adsabs.harvard.edu/abs/2012MNRAS.420..926F)
