PyRAT (python radiography analysis tool): overview

Armstrong, Jerawan C¹  Temple, Brian A¹  Buescher, Kevin L¹ 

[1] Los Alamos National Laboratory

关键词: ALGORITHMS;    DATA ANALYSIS;    IMAGE PROCESSING;    IMAGES;    OPTIMIZATION;    COMPUTER CODES;    PROGRAMMING;   

DOI  :  10.2172/1047140
RP-ID  :  LA-UR-11-00343
RP-ID  :  LA-UR-11-343
PID  :  OSTI ID: 1047140
Others  :  TRN: US201216%%361

学科分类：社会科学、人文和艺术（综合）

美国|英语

来源: SciTech Connect

【 摘 要 】

PyRAT was developed as a quantitative tool for robustly characterizing objects from radiographs to solve problems such as the hybrid nonlinear inverse problem. The optimization software library that was used is the nonsmooth optimization by MADS algorithm (NOMAD). Some of PyRAT's features are: (1) hybrid nonlinear inverse problem with calculated x-ray spectrum and detector response; (2) optimization based inversion approach with goal of identifying unknown object configurations - MVO problem; (3) using functionalities of Python libraries for radiographic image processing and analysis; (4) using the Tikhonov regularization method of linear inverse problem to recover partial information of object configurations; (5) using a priori knowledge of problem solutions to define feasible region and discrete neighbor for the MVO problem - initial data analysis + material library {yields} a priori knowledge; and (6) using the NOMAD (C++ version) software in the object.