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 oil large dataset of ROIs are shown.
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Titolo: | Automatic cell colony counting by region-growing approach |
Autori: | |
Data di pubblicazione: | 2007 |
Rivista: | |
Handle: | http://hdl.handle.net/11388/49191 |
Appare nelle tipologie: | 1.1 Articolo in rivista |