Proceedings of 2017 10th International Conference Management of Large-Scale System Development, MLSD 2017.
Institute of Electrical and Electronics Engineers Inc..
2017.
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.
Authors
Petrov D.1
,
Rumyantsev K.1
,
Eremin A.
2
Conference proceedings
Publisher
Institute of Electrical and Electronics Engineers Inc.
Language
English
Status
Published
Number
8110159
Year
2017
Organizations
- 1 Southern Federal University, Russian Federation
- 2 Russian University of Friendship of Peoples, Russian Federation
Keywords
False alarms; Feature detector; Image elements; Intensity distribution; Normal law; Sample sizes; Feature extraction
Date of creation
19.10.2018
Date of change
19.10.2018
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Proceedings of 2017 10th International Conference Management of Large-Scale System Development, MLSD 2017.
Institute of Electrical and Electronics Engineers Inc..
2017.