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Adaptive algorithms for detecting anomalies in a sequence of multidimensional images
K.K. Vasiliev, V.R. Krasheninnikov

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Pages: 125-132.

Full text of article: Russian language.

Abstract:
Currently, information extraction systems are used widely, such systems include spatial apertures of sensors for recording useful signals. Important classes of such systems are television aerospace complexes for remote exploration of the Earth, vision systems for industrial robots, radar, sonar and radio navigation systems for various purposes. For these systems, it is natural to describe signals and disturbances using random functions of
several variables, i.e. random fields [1-6]. Therewith, the spatial variables that take into account the relative position of the sensors are usually discrete. Additional discretization of the observed signals in time leads to the models of random fields defined on multidimensional grids [6].

Citation:
Vasiliev KK, Krasheninnikov VR. Adaptive algorithms for detecting anomalies in a sequence of multidimensional images. Computer Optics 1995; 14-15(1): 125-132.

References:
  1. Vasiliev KK. Signal detection on a sequence of multidimensional images. Coll. of scientific works "Mathematical and technical problems of processing visual information", ed. Alekseeva AS, Pyatkina VP; Computing Center of SB RAS; Novosibirsk: 1992; 49-64.
  2. Vasiliev KK, Balabanov VV. Detection of point signals against the background of interfering images; Radio engineering; 1991; 10: 86-89.
  3. Vasiliev KK, Gerches VG. The effectiveness of signal detection algorithms against the background of interfering images. Coll. of scientific works "Statistical image processing methods"; NGSU; Novosibirsk: 1993; 39-45.
  4. Krasheninnikov VR, Ageev SA. Pseudogradient adaptation of the decision procedure for detecting signals against the background of random fields. Coll. of scientific works "Statistical image processing methods"; NGSU; Novosibirsk: 1994; 28-33.
  5. Wittich VA, Sergeev VV, Soifer VA. Image processing in automated research systems; Moscow: Nauka Publisher; 1982; 214.
  6. Vasiliev KK, Krasheninnikov VR. Methods of filtration of multidimensional random fields. Saratov: Saratov Univ. Publishing House; 1990; 128.
  7. Sragovich VG. Adaptive management. Moscow: Nauka Publisher; 1981; 384.
  8. Pole BT, Tsypkin YZ. Pseudogradient adaptation and learning algorithms. Avtomatika i Telemekhanika; 1973; 3: 45-68.
  9. Krasheninnikov VR, Kapralov BP. Adaptive algorithms for predicting homogeneous images. Technika Sredstv Svyazi.; Ser. Tekhnika Televideniya; 1990; 5: 53-61.
  10. Szoplik T, Chalasinska-Macukow K. Towards nonlinear optical processing," in International Trends in Optics; Goodman LW, ed., Academic, Boston: 1991 .

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