A screen of slide detection method using deep learning-based segmentation and Hough transform
37th International Technical Conference on Circuits/Systems, Computers and Communications, ITC-CSCC 2022
; : 272-274, 2022.
Article
in English
| Scopus | ID: covidwho-2097627
ABSTRACT
Recently, COVID-19 has accelerated the non-contact culture. Many presentations, such as workshops and conferences, are conducted in an online and offline hybrid mode in a conference room. In presentations, a screen of the slide is particularly important. Therefore, we propose an algorithm that detects the screen in an image. Firstly, a screen region is extracted using a deep learning-based instance segmentation method. However, this extracted region has a noisy boundary. We designed an image processing algorithm composed of 7 main steps to solve this noise and detect the screen. To validate the proposed method, a real dataset was qualitatively evaluated, and the result images show that only meaningful screen regions in the test image can be extracted. © 2022 IEEE.
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Collection:
Databases of international organizations
Database:
Scopus
Language:
English
Journal:
Systems, Computers and Communications, ITC-CSCC 2022
Year:
2022
Document Type:
Article
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