Adaptive Extraction of Small Objects in Digital Images
Abstract
The problem of detection and localization of various size and shape small-extended objects in electronic surveillance systems using synthetic aperture radar, lidar, infrared and television cameras is discussed. An intensive and non-stationary background is described as the main difficulty in processing. This problem is solved using oriented filtering, adaptive thresholding and morphological analysis. Improved method is proposed for the adaptation of detection threshold based on the analysis of isolated fragments remaining in the image after thresholding.
About the Author
V. Yu. Volkov
Bonch-Bruevich State Telecommunications University (Saint Petersburg)
Russian Federation
D.Sc.in engineering, Professor of the department of radiosystems and Signal Processing
Russian Federation
D.Sc.in engineering, Professor of the department of radiosystems and Signal Processing
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Review
For citations:
Volkov V.Yu. Adaptive Extraction of Small Objects in Digital Images. Journal of the Russian Universities. Radioelectronics. 2017;(1):17-28. (In Russ.)
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