The mathematical model reduces the effect of distance to the scatter images gray level

Li-na Sun

doi:10.1117/12.2032898

19 September 2013 The mathematical model reduces the effect of distance to the scatter images gray level

Li-na Sun

Proceedings Volume 8905, International Symposium on Photoelectronic Detection and Imaging 2013: Laser Sensing and Imaging and Applications; 89050M (2013) https://doi.org/10.1117/12.2032898
Event: ISPDI 2013 - Fifth International Symposium on Photoelectronic Detection and Imaging, 2013, Beijing, China

Abstract

In x-ray scanning system, scatter images are obtained to provide information on material density. The forward and backward scatter is related to solid angle. Scatter is therefore dependent on the distance of the scanned object from the x-ray source. In the real world, an object may be placed anywhere on the conveyer belt, so the measured intensity will contain errors relative to the ideal intensity. This makes classification results less reliable. Extraction of characteristic values L associated with the density; need to know the gray levels of scatter images, so how to base on forward scatter and back scatter images to determine the scatter image gray level is first necessary to solve the problem. The author combined with the forward scatter and backscatter images，then established higher order gray-level mathematical model of scattering images, to eliminate the impact of distance on the scatter images, to obtain more accurate gray level of scatter image. Then compare the error use of LMS algorithm and the LS algorithm to solving mathematical model parameters, LS algorithm ultimately prove less error and experimental validation of the superiority of the LS algorithm.

Citation Download Citation

Li-na Sun "The mathematical model reduces the effect of distance to the scatter images gray level", Proc. SPIE 8905, International Symposium on Photoelectronic Detection and Imaging 2013: Laser Sensing and Imaging and Applications, 89050M (19 September 2013); https://doi.org/10.1117/12.2032898

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