A preproñessing method for correlation-extremal systems
O.V. Tsvetkov, L.V. Tananykina

 

Saint Petersburg State Electrotechnical University «LETI», St. Petersburg, Russia,
Federal State Unitary Enterprise «State Research Institute of Applied Problems», St. Petersburg, Russia

Full text of article: Russian language.

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Abstract:
In this paper we discuss an image preprocessing method for different shooting conditions. The method can be applied in machine vision systems using a correlation-extremal mapping method. An information-theoretic method for image preprocessing based on entropy analysis is offered. The investigation of the method has shown that, when preprocessed, same-scene images obtained under different conditions have a more stable correlation coefficient than the original images.

Keywords:
machine vision, entropy analysis, correlation, image preprocessing.

Citation:
Tsvetkov OV, Tananykina LV. A preprocessing method for correlation-extremal systems. Computer Optics 2015; 39(5): 738-43. DOI: 10.18287/0134-2452-2015-39-5-738-743.

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