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Towards a model for estimating image difficulty in x-ray screening.

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http://pubman.mpdl.mpg.de/cone/persons/resource/persons84420

Schwaninger,  A
Department Human Perception, Cognition and Action, Max Planck Institute for Biological Cybernetics, Max Planck Society;

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Citation

Schwaninger, A., Michel, S., & Bolfing, A. (2005). Towards a model for estimating image difficulty in x-ray screening. Proceedings of the 39th Annual International Carnahan Conference on Security Technology (CCST‘05), 185-188.


Cite as: http://hdl.handle.net/11858/00-001M-0000-0013-D403-2
Abstract
In this study we developed a first computational model for estimating image difficulty of x-ray images of passenger bags. Based on [1] three image-based factors are proposed as predictors of image difficulty: view difficulty of the threat item, superposition by other objects, and bag complexity (i.e. clutter and transparency of the bag). First, these factors were validated using detection experiments. We then developed computer-based algorithms to estimate the image-based factors automatically. Finally, we could show that our computational model can better explain human performance than human ratings of the imagebased factors.