Continuity Detection Method in Binary Image Signal

Authors

  • Radim Hercik Department of Cybernetics and Biomedical Engineering, Faculty of Electrical Engineering and Computer Science, VSB - TUO
  • Zdenek Machacek Department of Cybernetics and Biomedical Engineering, Faculty of Electrical Engineering and Computer Science, VSB - TUO
  • Jiri Koziorek Department of Cybernetics and Biomedical Engineering, Faculty of Electrical Engineering and Computer Science, VSB - TUO
  • Jan Vanus Department of Cybernetics and Biomedical Engineering, Faculty of Electrical Engineering and Computer Science, VSB - TUO
  • Miroslav Schneider Department of Cybernetics and Biomedical Engineering, Faculty of Electrical Engineering and Computer Science, VSB - TUO
  • Wojciech Walendziuk Department of Electrical Engineering, Bialystok University of Technology

DOI:

https://doi.org/10.5755/j01.eie.26.6.25770

Keywords:

Image processing, Binary image, Field detection, Continuity detection, Computation time

Abstract

This paper is focused on a description of a new method of detecting continuities in a binary image. The detecting method is called “Binary Large Object” (BLOB). A new algorithm with other elementary parameters, as processing speed and memory capability, are described here. The developed BLOB method with described algorithms is implemented in MATLAB. The simulation of the algorithms is tested in different conditions, with the time dependences determination. The research results of the computing time or the BLOB memory demand during computation are presented as well. The developed BLOB method is usable as one of the elementary image processing methods of the field detection dependencies in the images, like pattern recognition or OCR algorithm.

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Published

2020-12-18

How to Cite

Hercik, R. ., Machacek, Z. ., Koziorek, J. ., Vanus, J. ., Schneider, M. ., & Walendziuk, W. (2020). Continuity Detection Method in Binary Image Signal. Elektronika Ir Elektrotechnika, 26(6), 4-9. https://doi.org/10.5755/j01.eie.26.6.25770

Issue

Vol. 26 No. 6 (2020)

Section

AUTOMATION, ROBOTICS

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