Enhancing image processing architecture using deep learning for embedded vision systems
In recent years, the success and capabilities of embedded vision have showed up in embedded applications. The embedding of vision into electronic devices such as embedded medical applications is being driven by the availability of high-performance processors, integrating with deep learning algorithm...
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| Veröffentlicht in: | Microprocessors and microsystems 2020-07, Vol.76, p.103094, Article 103094 |
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| container_title | Microprocessors and microsystems |
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| creator | Udendhran, R. Balamurugan, M. Suresh, A. Varatharajan, R. |
| description | In recent years, the success and capabilities of embedded vision have showed up in embedded applications. The embedding of vision into electronic devices such as embedded medical applications is being driven by the availability of high-performance processors, integrating with deep learning algorithms, as well as advances in image processing technology. But, including image processing in embedded vision systems need huge amount of computational capabilities even to process a single image to detect an object and it's extremely challenging to implement in embedded systems. Implementing deep learning algorithms and testing it on a task specific data set could provide enhanced results. In this paper, an approach for enhancing image processing architecture using deep learning for embedded vision systems is proposed and analyzed. Implementing deep learning algorithms and testing it on embedded vision yielded effective results. |
| doi_str_mv | 10.1016/j.micpro.2020.103094 |
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| ispartof | Microprocessors and microsystems, 2020-07, Vol.76, p.103094, Article 103094 |
| issn | 0141-9331 1872-9436 |
| language | eng |
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| source | Elsevier ScienceDirect Journals Complete |
| subjects | Algorithms Architecture Convolutional neural networks Deep learning Electronic devices Embedded systems Embedded vision systems Embedding Feature extraction Google inception network Image enhancement Image processing Machine learning Vision systems |
| title | Enhancing image processing architecture using deep learning for embedded vision systems |
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