Отрывок: Therefore the choice of standards for recognition of a class of imposing is carried out as follows. Among 2000 vectors signs of one class the vector is chosen in a random way. We will accept this vector as reference in we consider a class. For this vector marks by a method of the next distance [1], the algorithm of definition of a mean square deviation is calculated on (17) Zi with each of 2000 vectors marks of this class. ...
Полная запись метаданных
Поле DC | Значение | Язык |
---|---|---|
dc.contributor.author | Sadykov, S.S. | - |
dc.contributor.author | Kulkov, Y.Yu. | - |
dc.date.accessioned | 2018-05-16 16:38:05 | - |
dc.date.available | 2018-05-16 16:38:05 | - |
dc.date.issued | 2018 | - |
dc.identifier | Dspace\SGAU\20180513\69105 | ru |
dc.identifier | Dspace\SGAU\20180516\69105 | ru |
dc.identifier.citation | Sadykov S.S. Research of recognition of the imposed flat objects on dimensionless marks of their contours / S.S. Sadykov, Y.Yu. Kulkov // Сборник трудов IV международной конференции и молодежной школы «Информационные технологии и нанотехнологии» (ИТНТ-2018) - Самара: Новая техника, 2018. - С.860-864 | ru |
dc.identifier.uri | http://repo.ssau.ru/handle/Informacionnye-tehnologii-i-nanotehnologii/Research-of-recognition-of-the-imposed-flat-objects-on-dimensionless-marks-of-their-contours-69105 | - |
dc.description.abstract | The purpose of work is the pilot study of the recognition algorithm of the imposed flat objects on the basis of dimensionless marks of their contours and definition of a possibility to use this method in technical sight system. | ru |
dc.language.iso | en | ru |
dc.publisher | Новая техника | ru |
dc.subject | image | ru |
dc.subject | recognition | ru |
dc.subject | imposed objects | ru |
dc.subject | dimensionless marks | ru |
dc.title | Research of recognition of the imposed flat objects on dimensionless marks of their contours | ru |
dc.type | Article | ru |
dc.textpart | Therefore the choice of standards for recognition of a class of imposing is carried out as follows. Among 2000 vectors signs of one class the vector is chosen in a random way. We will accept this vector as reference in we consider a class. For this vector marks by a method of the next distance [1], the algorithm of definition of a mean square deviation is calculated on (17) Zi with each of 2000 vectors marks of this class. ... | - |
Располагается в коллекциях: | Информационные технологии и нанотехнологии |
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