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Image variants generated by using vector models of multidimensional random fields

  • Representation, Processing, Analysis and Understanding of Images
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Abstract

The author proposes vector models of multidimensional random fields to obtain the image variants for an object under observation, which differ in color and geometric distortions simulating the reflection of the interaction between the observed object and the environment.

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Authors and Affiliations

  1. Ulyanovsk State Technical University, Severny Venets ul. 32, Ul’yanovsk, 432027, Russia

    A. I. Armer

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  1. A. I. Armer
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Correspondence to A. I. Armer.

Additional information

Andrei Igorevich Armer. Born 1982. Associate Professor of the CAD department of Ulyanovsk State Technical University. Received candidate’s degree in 2006. Scientific interests: processing and recognition of speech signals, pattern recognition. Author of 42 papers.

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Armer, A.I. Image variants generated by using vector models of multidimensional random fields. Pattern Recognit. Image Anal. 22, 157–163 (2012). https://doi.org/10.1134/S1054661812010063

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  • DOI: https://doi.org/10.1134/S1054661812010063

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