Digital Image Automatic Recognition and Tracking Based on Electronic Derotation Algorithm
With the continuous development of my country’s social economy, the ways to acquire images have become more and more abundant. How to effectively process, manage, and mine images has become a major and difficult problem in research. In view of the difficult problem of image recognition, the electron...
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| Format: | Article |
| Language: | English |
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Wiley
2021-01-01
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| Series: | Advances in Multimedia |
| Online Access: | http://dx.doi.org/10.1155/2021/6111812 |
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| _version_ | 1832546017366507520 |
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| author | Meirong Gao |
| author_facet | Meirong Gao |
| author_sort | Meirong Gao |
| collection | DOAJ |
| description | With the continuous development of my country’s social economy, the ways to acquire images have become more and more abundant. How to effectively process, manage, and mine images has become a major and difficult problem in research. In view of the difficult problem of image recognition, the electronic derotation algorithm is introduced in this study, by combing and monitoring the edge features, establishing a corresponding sample database, analyzing the edge features of the image, and performing effective and stable tracking, so as to realize the automatic recognition and tracking of the digital image. The simulation experiment results show that the electronic derotation algorithm is effective and can support the automatic recognition and tracking of digital images. |
| format | Article |
| id | doaj-art-cabacaaca47e4081bbae806430970fdb |
| institution | Kabale University |
| issn | 1687-5699 |
| language | English |
| publishDate | 2021-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Advances in Multimedia |
| spelling | doaj-art-cabacaaca47e4081bbae806430970fdb2025-02-03T07:24:13ZengWileyAdvances in Multimedia1687-56992021-01-01202110.1155/2021/6111812Digital Image Automatic Recognition and Tracking Based on Electronic Derotation AlgorithmMeirong Gao0College of Physics and Optoelectronic TechnologyWith the continuous development of my country’s social economy, the ways to acquire images have become more and more abundant. How to effectively process, manage, and mine images has become a major and difficult problem in research. In view of the difficult problem of image recognition, the electronic derotation algorithm is introduced in this study, by combing and monitoring the edge features, establishing a corresponding sample database, analyzing the edge features of the image, and performing effective and stable tracking, so as to realize the automatic recognition and tracking of the digital image. The simulation experiment results show that the electronic derotation algorithm is effective and can support the automatic recognition and tracking of digital images.http://dx.doi.org/10.1155/2021/6111812 |
| spellingShingle | Meirong Gao Digital Image Automatic Recognition and Tracking Based on Electronic Derotation Algorithm Advances in Multimedia |
| title | Digital Image Automatic Recognition and Tracking Based on Electronic Derotation Algorithm |
| title_full | Digital Image Automatic Recognition and Tracking Based on Electronic Derotation Algorithm |
| title_fullStr | Digital Image Automatic Recognition and Tracking Based on Electronic Derotation Algorithm |
| title_full_unstemmed | Digital Image Automatic Recognition and Tracking Based on Electronic Derotation Algorithm |
| title_short | Digital Image Automatic Recognition and Tracking Based on Electronic Derotation Algorithm |
| title_sort | digital image automatic recognition and tracking based on electronic derotation algorithm |
| url | http://dx.doi.org/10.1155/2021/6111812 |
| work_keys_str_mv | AT meironggao digitalimageautomaticrecognitionandtrackingbasedonelectronicderotationalgorithm |