Algorithm for detecting artificial objects against natural backgrounds

Pronin, S.V.

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Publication in Journal of Optical Technology

For Russian citation (Opticheskii Zhurnal):

Пронин С.В. Алгоритм детектирования искусственных объектов на природных фонах // Оптический журнал. 2018. Т. 85. № 6. С. 33–38. http://doi.org/10.17586/1023-5086-2018-85-06-33-38

Pronin S.V. Algorithm for detecting artificial objects against natural backgrounds [in Russian] // Opticheskii Zhurnal. 2018. V. 85. № 6. P. 33–38. http://doi.org/10.17586/1023-5086-2018-85-06-33-38

For citation (Journal of Optical Technology):

S. V. Pronin, "Algorithm for detecting artificial objects against natural backgrounds," Journal of Optical Technology. 85(6), 338-342 (2018). https://doi.org/10.1364/JOT.85.000338

Abstract:

This paper describes an algorithm for distinguishing between images of two classes of objects: artificial and natural. An approximation to the image is generated using graphical elements similar to the receptor fields of neurons in the primary visual cortex (Zone VI). We show that the approximation-error distribution for natural-object images lies at higher values of the approximation error than that for artificial-object images. This difference makes it possible to detect artificial objects against natural backgrounds.

Keywords:

image classification, receptor fields, visual alphabet, image preprocessing

OCIS codes: 100.3008, 100.4997, 330.5000

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