A Generalizable Radiography Algorithm Test Environment for NDE Applications

This work demonstrates a generalizable test environment platform that can load multiple algorithms and automatically run a test-set of X-ray Data from a Radiography Image Database to determine their efficacy based on various metrics of interest. The output will be text and graphical data communicating performance such as hit rates, ROC Curves, Proportion correct, and other methods of estimating detection. The platform can easily integrate algorithms written in various programming languages, providing great flexibility and allows for the measurement of similar algorithms deployed in different software environments. This platform has many applications within the Non-Destructive Evaluation Community, including anomaly detection, feature extraction, and quality assurance.

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