A computer vision approach for automated analysis and classification of microstructural image data
Abstract
The ‘bag of visual features’ image representation was applied to create generic microstructural signatures that can be used to automatically find relationships in large and diverse microstructural image data sets. Using this representation, a support vector machine (SVM) was trained to classify microstructures into one of seven groups with greater than 80% accuracy over 5-fold cross validation. In addition, the bag of visual features was...
Paper Details
Title
A computer vision approach for automated analysis and classification of microstructural image data
Published Date
Dec 1, 2015
Volume
110
Pages
126 - 133
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