Automated SNR Search to Support an Audit
US Army CCDC Picatinny Arsenal United States
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In this paper, we describe how we used MATLABregistered trademark to measure the signal to noise ratio in a stack of radiographs of M1 shells. We created a MATLAB program that converted each image into a matrix of gray values corresponding to each pixel. Using the techniques of a previous technical report, we identified three regions of interest dictated by military specifications. We then recorded statistics associated with each region. The program successfully recorded the average and maximum SNR of each of the three regions of interest. Our methodology allows for more audits to be performed of our production facilities. It also allows for more objectivity when assessing image quality. Finally, the techniques described here allow for potential critical escapes to be quickly identified and brought to the attention of Level 3 radiographers and program managers.
- Radiofrequency Wave Propagation