Automatic cell colony counting by region-growing approach
Giovanni Luca Masala, U. Bottigli, Antonio Brunetti, M. Carpinelli, Nicia Diaz, Pier Luigi Fiori, Bruno Golosio, P. Oliva, Giovanni Stegel · CNR Solar (Scientific Open-access Literature Archive and Repository) (Consiglio Nazionale delle Ricerche) · 2007
This paper introduces a new automatic system of counting based on the elaboration of the digital images of cellular colonies grown on petri dishes. This system is mainly based on the region-growing algorithms for the recognition of the Regions Of Interest (ROI) in the image and Sanger's neural network for the characterization of such regions. Moreover a recognition of the most important filters is made in alternative respect to region-growing approach. The new Graphics Users Interface is introduced. The better final classification is supplied from a Feed-Forward Neural Net (FF-NN) and compared with the K-Nearest Neighbour (K-NN). The results on large dataset of ROIs are shown.