Optimal Threshold Selection for Tomogram Segmentation by Reprojection of the Reconstructed Image
نویسندگان
چکیده
Grey value thresholding is a segmentation technique commonly applied to tomographic image reconstructions. Many procedures have been proposed to optimally select the grey value thresholds based on the image histogram. In this paper, a new method is presented that uses the tomographic projection data to determine optimal thresholds. The experimental results for phantom images show that our method obtains superior results compared to established histogram-based methods.
منابع مشابه
Selection of Local Thresholds for Tomogram Segmentation by Projection Distance Minimization
Segmentation is an important step to obtain quantitative information from tomographic data sets. To this end, global thresholding is often used in practice. However, it is usually not possible to obtain an accurate segmentation based on a single, global threshold. Instead, local thresholding schemes can be applied that use a varying threshold, depending on local characteristics of the tomogram....
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