Research of the influence of the analyzed and support sample size on the effectiveness of detection in case of normal law of intensity distribution aberration of the image elements

Paper is focused on problem of robust feature detector stability and efficiency in case when intensity distribution is uneven over image. Results of feature detector simulation and equations for estimation rate of false alarms and probability of correct detection are presented in paper. © 2017 IEEE.

Авторы
Petrov D.1 , Rumyantsev K.1 , Eremin A. 2
Сборник материалов конференции
Издательство
Institute of Electrical and Electronics Engineers Inc.
Язык
Английский
Статус
Опубликовано
Номер
8110159
Год
2017
Организации
  • 1 Southern Federal University, Russian Federation
  • 2 Russian University of Friendship of Peoples, Russian Federation
Ключевые слова
False alarms; Feature detector; Image elements; Intensity distribution; Normal law; Sample sizes; Feature extraction
Дата создания
19.10.2018
Дата изменения
19.10.2018
Постоянная ссылка
https://repository.rudn.ru/ru/records/article/record/5183/
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