MORPHOLOGICAL SEGMENTATION OF CUTTING TOOLS

The influence of microstructural features of cutting tools in tungsten carbide-cobalt cermets (WC-Co) on their mechanical behaviour is well established. The study of these features needs to segment WC grains in the cobalt matrix. This segmentation had been manually performed for a long time, but the development of new image processing tools allow n ow to automatically achieve a good segmentation. A method of WC-Co seg mentation is introduced and the results obtained on this one are compa red to the results obtained on a manual segmentation in order to valid ate the segmentation algorithm.