Prior Knowledge Analysis of Interfaces in CT Data
This paper describes an approach to prior knowledge analysis of component interfaces in data measured using X-ray computed tomography (CT). In this approach, geometric details, including the presence or absence of component separations, are estimated more precisely than is normally permitted by the CT reconstruction interval. In the following section, the problem of interface analysis in CT data is presented. The next section discusses prior knowledge analysis and lists the assumptions necessary to make this approach possible. The final two sections discuss limitations inherent in prior knowledge analysis, and results obtained using both simulated and measured CT data.
KeywordsPrior Knowledge Compute Tomography Data Component Density Outer Interface Automatic Defect Detection
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