Algorithm of image processing for remove the overlapping effect

Lina Sun; Peixin Yuan

doi:10.1117/12.832176

4 August 2009 Algorithm of image processing for remove the overlapping effect

Lina Sun, Peixin Yuan

Proceedings Volume 7385, International Symposium on Photoelectronic Detection and Imaging 2009: Terahertz and High Energy Radiation Detection Technologies and Applications; 738508 (2009) https://doi.org/10.1117/12.832176
Event: International Symposium on Photoelectronic Detection and Imaging 2009, 2009, Beijing, China

Abstract

In material recognition, distilling eigenvalue will use an 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 author 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 transmission 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. The mathematical models for forward-scatter and backscatter overlap models were much more complicated than transmission overlap models. However, these formulas could still be derived in a similar manner as was employed to create transmission models. This method has been used in DEX9080B 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.

Citation Download Citation

Lina Sun and Peixin Yuan "Algorithm of image processing for remove the overlapping effect", Proc. SPIE 7385, International Symposium on Photoelectronic Detection and Imaging 2009: Terahertz and High Energy Radiation Detection Technologies and Applications, 738508 (4 August 2009); https://doi.org/10.1117/12.832176

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