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Journal of Optical Technology

Journal of Optical Technology


  • Vol. 81, Iss. 2 — Feb. 1, 2014
  • pp: 75–82

Adaptive method and algorithm for detecting low-contrast objects with an optoelectronic device

A. N. Katulev, A. A. Kolonskov, A. A. Khramichev, and S. V. Yagol’nikov  »View Author Affiliations

Journal of Optical Technology, Vol. 81, Issue 2, pp. 75-82 (2014)

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This paper proposes an adaptive method of detecting objects on the image of an optoelectronic device. The method is based on reconstructing a reference signal-image and forming a statistic in the form of the maximum eigenvalue of the selective correlation matrix for making a decision concerning the detection of an object, using the Neyman–Pearson criterion. The information contained in the images recorded is used when there are no a priori data concerning the background–target situation. A block diagram of the algorithm is given, along with the results of estimating the efficiency index for detecting objects under various conditions.

© 2014 Optical Society of America

OCIS Codes
(100.0100) Image processing : Image processing
(100.2000) Image processing : Digital image processing

Original Manuscript: August 2, 2013
Published: March 21, 2014

A. N. Katulev, A. A. Kolonskov, A. A. Khramichev, and S. V. Yagol’nikov, "Adaptive method and algorithm for detecting low-contrast objects with an optoelectronic device," J. Opt. Technol. 81, 75-82 (2014)

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