A preproсessing method for correlation-extremal systems
Автор: Tsvetkov Oleg Viktorovich, Tananykina Lareta Valerjevna
Журнал: Компьютерная оптика @computer-optics
Рубрика: Обработка изображений: Восстановление изображений, выявление признаков, распознавание образов
Статья в выпуске: 5 т.39, 2015 года.
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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.
Machine vision, correlation, image preprocessing, entropy analysis
Короткий адрес: https://sciup.org/14059418
IDR: 14059418 | DOI: 10.18287/0134-2452-2015-39-5-738-743