Please use this identifier to cite or link to this item:
https://elib.bsu.by/handle/123456789/9308| Title: | Based on Perceptron Object Classification Algorithms for Processing of Agricultural Field Images |
| Authors: | Ganchenko, V. Doudkin, A. Pawlowski, T. Petrovsky, A. Sadykhov, R. |
| Issue Date: | 2012 |
| Publisher: | Минск: БГУ |
| Citation: | Modeling and Simulation : MS'2012 : Proc. of the Intern. Conf., 2—4 May 2012, Minsk, Belarus. - Minsk: Publ. Center of BSU, 2012. - 178 p. - ISBN 978-985-553-010-8. |
| Abstract: | Neural network algorithms of object classification are considered in the paper applying to disease area recognition of agricultural field images. The images are presented as reduced normalized histograms. The classification is carried out for RGB-and HSV-space by using of a multilayer perceptron. |
| URI: | http://elib.bsu.by/handle/123456789/9308 |
| Appears in Collections: | 2012. Моделирование процессов систем: Труды Международной конференции |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 21r 86.pdf | 880,58 kB | Adobe PDF | View/Open |
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