CPC C06B 45/06 (2013.01) [C06B 21/0041 (2013.01); C06B 21/005 (2013.01); C06B 21/0066 (2013.01); C06B 45/02 (2013.01); C06B 45/04 (2013.01); C06B 23/00 (2013.01); G01N 33/227 (2013.01)] | 6 Claims |
1. A method of iteratively adjusting grayscale values of formulations as visualized by micro computed tomography (micro-CT) explosives detection systems (EDS), comprising:
scanning a textured threat compound using a micro computed tomography (micro-CT) explosives detection system (EDS) to obtain a 3-dimensional image of threat texture component particles of the textured threat compound;
removing a visual background from the 3-dimensional image of the textured threat compound by setting a threshold to remove pixels having a pixel value less than the lowest value of the threat texture component particles;
quantitatively characterizing a threat texture of the textured threat compound as revealed in the 3-dimensional image after removing the background, including a size, shape, and distribution of the threat texture component particles having sufficient size and preponderance that can be identified and used in explosive detection;
characterizing attenuating properties of a candidate background material with the micro-CT EDS to visualize its grayscale value, on a scale of 0 to 255, on an output of the micro-CT EDS;
formulating a first texture component formulation separate from the candidate background material by adding, to the candidate background material, a candidate wax to thereby increase an attenuating property of the first texture component formulation as characterized by the micro-CT EDS;
scanning the first texture component formulation with the micro-CT EDS to visualize a first texture component grayscale value, on the scale of 0 to 255, on an output of the micro-CT EDS;
adjusting the first texture component grayscale value by iteratively adding more candidate wax and scanning until the first texture component formulation, as visualized by the micro-CT EDS relative to the background material, displays an average grayscale value in the range of approximately 60 to 80 levels higher relative to the grayscale value of the candidate background material, the first texture component grayscale value indicating that the first texture component formulation is associated with a first component attenuation different than attenuation of the candidate background material;
consolidating the first texture component formulation to produce a consolidated first texture component formulation;
mechanically separating the consolidated first texture component formulation into first texture component particles according to a first component characteristic;
dispersing, in the candidate background material, the first texture component particles according to the first component characteristic;
quantitatively characterizing a simulant texture of the simulant comprising the background material including the first texture component particles dispersed therein, by scanning the simulant in the micro-CT EDS to observe the first component characteristic;
comparing the simulant texture to the threat texture as characterized by the micro-CT EDS including size, shape, and distribution of texture component particles of the simulant texture and threat texture having sufficient size and preponderance that can be identified and used in explosive detection; and
iteratively dispersing the first texture component particles into the background material to adjust the first component characteristic of the first texture component, and quantitatively characterizing the simulant texture, until the simulant texture has a non-homogeneous dispersion of attenuation that matches an irregularity size and preponderance of the threat texture to within a range corresponding to being generally visually indistinguishable from dispersion of attenuation of the threat texture when viewing scanning results.
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