| DC Field | Value | Language |
|---|
| dc.contributor.author | Chen, J. K. | - |
| dc.coverage.spatial | Минск | ru_RU |
| dc.date.accessioned | 2023-06-12T12:27:39Z | - |
| dc.date.available | 2023-06-12T12:27:39Z | - |
| dc.date.issued | 2023 | - |
| dc.identifier.citation | Chen, J. K. Texture feature extraction method based on grayscale recognition / Chen J. K. // Информационная безопасность : сборник материалов 59-й научной конференции аспирантов, магистрантов и студентов БГУИР, Минск, 17–21 апреля 2023 г. / Белорусский государственный университет информатики и радиоэлектроники. – Минск, 2023. – С. 156–157. | ru_RU |
| dc.identifier.uri | https://libeldoc.bsuir.by/handle/123456789/51956 | - |
| dc.description.abstract | The quality of feature extraction has a great impact on the accuracy and efficiency of image recognition. Traditional image texture feature extraction consumes a long time and the efficiency is low. Therefore, a new method based on gray image is proposed in this paper. The texture feature image is collected, and then the gray processing is carried out, so the image texture feature extraction based on gray recognition is realized. Through a large number of experiments, the results shows that the new method has high speed and efficiency. | ru_RU |
| dc.language.iso | en | ru_RU |
| dc.publisher | БГУИР | ru_RU |
| dc.subject | материалы конференций | ru_RU |
| dc.subject | grayscale recognition | ru_RU |
| dc.subject | texture features | ru_RU |
| dc.subject | feature extraction | ru_RU |
| dc.title | Texture feature extraction method based on grayscale recognition | ru_RU |
| dc.type | Article | ru_RU |
| Appears in Collections: | Информационная безопасность : материалы 59-й научной конференции аспирантов, магистрантов и студентов (2023)
|
