Faculty of Physics
M.V.Lomonosov Moscow State University
Regular Article

An algorithm for object identification based on hyperplane separation but tolerant to illumination and viewing angle variations.

A.V. Zubyuk, A.B. Fedotov

Moscow University Physics Bulletin 2015. 15. N 6. P. 479

  • Article

A new algorithm for object identification by their images is proposed. It combines tolerance against imaging conditions variations proper to morphological methods for image analysis by Pyt’yev with computational simplicity of methods based on separating classes of images with hyperplane. The algorithm was tested on images taken in different illuminations and views. It can be applied to analyse microscopic image in biophysics, acoustic signals in geophysics, Earth resources using satellite data, etc.

Received: 2015 July 13
Approved: 2016 January 22
07.05.Pj Image processing
07.05.Mh Neural networks, fuzzy logic, artificial intelligence
A.V. Zubyuk, A.B. Fedotov
Department of Physics, Moscow State University, Moscow, 119991 Russia
Issue 6, 2015

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