Rev. Met. Paris
Volume 97, Number 2, Février 2000
|Page(s)||219 - 227|
|Published online||13 January 2017|
Segmentation of multispectral images in optical metallography
Segmentation des images multispectrales en métallographie optique
The use of adequate multispectral Image acquisition and segmentation procedures is essential for automatic phase identification in metallography. Spatial and supervised spectral classification methods are compared on a set of five different optical ore micrographs. Nearest neighbour classification complemented by a geodesic propagation filter appears to give the best results. This method is often able to rival with EDX mapping where cost and speed are essential parameters.
© La Revue de Métallurgie 2000
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.