Projects & Grants
| Image processing using soft-computing methods | |
|---|---|
| Project Id | SGS07/ÚVAFM/2018 |
| Main solver | doc. Mgr. Petr Hurtík, Ph.D. |
| Period | 1/2018 - 12/2018 |
| Provider | Specifický VŠ výzkum |
| State | finished |
| Anotation | The project thematically continues series of previous SGS projects with the focus on image processing, building on the previous results and expanding them. The project joins theoretical and practical research of F-transform, image represented by a fuzzy function and application of deep neural networks. The first two mentioned areas create alternatives to classical representation of an image and enable a usage of other soft-computing techniques with the goal of increasing speed or accuracy of the developed algorithms, build on mentioned representations or modifications of deep neural networks, that is, the third area of interest. The practical impact of the research will be innovative solutions to qualitative image impainting, real-time image segmentation and faster training of deep neural networks. |
