Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Voronin Viacheslav"'
Autor:
Richter Andrey, Ignatiev Vladimir Y., Kazaryan Maretta, Voronin Viacheslav, Shakhramanyan Mihail
Publikováno v:
Serbian Journal of Electrical Engineering, Vol 16, Iss 1, Pp 123-136 (2019)
The paper proposes a method of slicing space images into areas of varying sizes to automate the image processing, beginning from the receipt of raw data (download pictures) up to mapping of the underlying surface indices. Indices calculation are b
Externí odkaz:
https://doaj.org/article/33524adeb0254f1685cda938f702bf25
Publikováno v:
Serbian Journal of Electrical Engineering, Vol 14, Iss 3, Pp 387-399 (2017)
The solution the task of television image identification is used in industry when creating autonomous robots and systems of technical vision. A similar problem also arises in the development of image analysis systems to function under the influenc
Externí odkaz:
https://doaj.org/article/7c4f86c0a563443b8a7cbb92165c3e70
Publikováno v:
Serbian Journal of Electrical Engineering, Vol 14, Iss 2, Pp 229-244 (2017)
Video inpainting or completion is a vital video improvement technique used to repair or edit digital videos. This paper describes a framework for temporally consistent video completion. The proposed method allows to remove dynamic objects or restore
Externí odkaz:
https://doaj.org/article/6f4b72435fa74f5189ca19e7f37fa72d
Publikováno v:
Serbian Journal of Electrical Engineering, Vol 14, Iss 3, Pp 401-413 (2017)
Image data is of major practical importance in medical informatics. Accurate segmentation of medical images largely determines the final result of image analysis, which provides significant information for 3D visualization, surgical planning and e
Externí odkaz:
https://doaj.org/article/578ab669901c45198426a07643cd050b
Publikováno v:
Serbian Journal of Electrical Engineering, Vol 14, Iss 3, Pp 379-386 (2017)
Image inpainting, a technique of completing missing or corrupted image regions in undetected form, is an open problem in digital image processing. Inpainting of large regions using Deep Convolutional Generative Adversarial Nets (DCGAN) is a new an
Externí odkaz:
https://doaj.org/article/c3763ebf813a4b04afdbd34321fb14ee