Paper
11 August 2011 Digital image processing algorithms to determining an object's true gray levels in x-ray back scatter images
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Abstract
In material classification, distilling eigenvalue will use the object's true gray levels. The problem is objects in a bag almost always overlap with others. Being able to identify the object of interest and remove the overlap effects becomes the key issue that needs to be solved. First, the paper took an n-object-overlapping problem simplified to a two-object-overlapping problem. So the research focus turned to computing true gray levels for two-object-overlapping problem. It was necessary to develop models that can be used to remove the background object overlapping effects. The author took back scatter images for example, discussed the development of the mathematical model for removing the overlapping effects, solved the model parameter by experiment and analyzed model error. This method has been used in x-ray security inspection equipment of DT Inspection equipment limited company. The results of application show that the algorithm is feasible. This is a unique contribution to the explosive detection community.
© (2011) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Lina Sun "Digital image processing algorithms to determining an object's true gray levels in x-ray back scatter images", Proc. SPIE 8195, International Symposium on Photoelectronic Detection and Imaging 2011: Terahertz Wave Technologies and Applications, 81950J (11 August 2011); https://doi.org/10.1117/12.900188
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KEYWORDS
Mathematical modeling

Backscatter

Barium

X-rays

X-ray imaging

Data modeling

Digital image processing

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