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
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)