Direct parametric object detection in tomographic images

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摘要

This paper describes a new method of parametric segmentation of tomographic data without actual image reconstruction. It is possible to detect lines, circles, ellipses and other geometric figures from the raw tomographic data itself. If, for instance in non-destructive testing, we are interested in determining faults such as cracks, it is possible to do so without reconstruction and with lesser computation. Experimental results are provided for both simulation and real data. This technique is very useful in non-destructive testing for finding faults in metallic parts.

论文关键词:Radon transform,Segmentation,Geometric tomography,Non-destructive testing,Vision-based inspection,Hough transform

论文评审过程:Received 10 February 1997, Accepted 13 October 1997, Available online 15 February 1999.

论文官网地址:https://doi.org/10.1016/S0262-8856(98)00082-1