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In this study an automated software model using digital image processingtechniques is proposed for extracting the image characteristics and contiguityof liquid phase sintered tungsten heavy alloys. The developed model takes atypical image as input and processes it with no human intervention and providesthe corresponding image characteristics and contiguity value. The imageprocessing algorithm includes segmentation, binding point extraction, phaseconnection, particle count and contiguity estimation stages. For the output,microstructural parameters such as tungsten particle size, amount of tungstenphase and contiguity are determined. The model is implemented by using 6different scanning electron microscope images of liquid phase sintered90W-7Ni-3Fe and 93W-4.9Ni-2.1Fe allloys. The results indicate that relative tothe manual measurements, the automated model can correctly estimate thecontiguity with an error in the vicinity of 5.6% - 2.9% for these two alloys.The developed software can easily be adapted to be used for othermicrostructures. It is also provided as open-source and available for otherresearchers.

Automated Image Analysis and Contiguity Estimation for Liquid Phase Sintered Tungsten Heavy Alloys