The Classification with Respect to Strobe Artifacts
M. A. Al-Askari
M. A. Al-Askari, National Research Ogarev Mordovia State University, Russia.
Manuscript received on 02 October 2019 | Revised Manuscript received on 11 October 2019 | Manuscript Published on 22 October 2019 | PP: 533-536 | Volume-8 Issue-3S October 2019 | Retrieval Number: C11101083S19/2019©BEIESP | DOI: 10.35940/ijrte.C1110.1083S19
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: An algorithm for estimating strobe effects on raster images is given. The algorithm is based on image segmentation in OpenCV C ++ using the Canny detector, for which its parameters are selected. The first group of parameters refers to the case when the selection of contours is carried out most fully. In the second case, the outline se-lection area is per-formed for the main part of the image. The parameters of the Canny detector are determined on the basis of a calcula-tion of the average bright-ness of the halftone image and its transformed version. As a result, two binary imag-es are compared, and a conclusion is made about the presence of strobe artifacts or their level in the image under study.
Keywords: Image, Canny, Contours, Grayscale Image, Average Brightness, Opencv C++.
Scope of the Article: Classification