Comparative analysis of sinogram interpolation methods for computer tomographic images
In this paper, we propose a limited-view computer tomography(CT) image reconstruction method that reduces the scan times and X-ray dosages in the semiconductor industry. To reduce streak artifacts, which are caused by an insufficient number of views, we study the sinogram interpolation method based on the average pixel value. The change patterns are tracked by iteratively averaging the values. We use a shepp-logan phantom to evaluate the effectiveness of the comparative interpolation method. The results showed that the streak artifacts were reduced in the proposed interpolation method. In addition, we compared our method with another interpolation method using the peak-signal-to-noise ratio(PSNR) and performance time.
The need for improving the capability to detect illegal or hazardous activities and yet reducing the workload of operators involved in various surveillance tasks calls for research on more capable automatic tools. To maximize their performance, these tools should be able to combine automatic capturing of normal behavior from data with domain knowledge in the form of human descriptions. In a proposed Joint Statistical and Symbolic Anomaly Detection System, statistical and symbolic methods are tightly integrated in order to detect the majority of critical events in the situation while minimizing unwanted alerts. We exemplify the proposed system in the domain of maritime surveillance.