Abstract
A heuristic model is described for recognizing objects from their IR scaled images by means of a two-stage process applied to the feature vector space for objects of simple shape having local radiation centers.
This is a preview of subscription content, log in via an institution to check access.
Similar content being viewed by others
REFERENCES
A. Fore, Pattern Perception and Recognition [Russian translation], Mashinostroenie, Moscow (1989).
K. Verhagen et al., Pattern Recognition: State and Prospects [Russian translation], Radio i Svyaz', Moscow (1985).
A. I. Zhivichin and V. S. Sokolov, Interpreting Photographic Images [in Russian], Nedra, Moscow (1980).
V. N. Povetko and V. A. Pon'kin, Radiotekh. Elektron., 38, No. 4, 685 (1993).
Yu. M. Voronin and N. I. Pavlov, Opt. Zh., No. 7, 7 (1994).
V. N. Povetko, Radiotekh., No. 6, 88 (1996).
V. A. Pon'kin and I. V. Laptev, Radiotekh., No. 8, 71 (1999).
J. Tu and R. Gonzales, Pattern Recognition Principles [Russian translation], Mir, Moscow (1978).
Rights and permissions
About this article
Cite this article
Lopin, V.I., Khatalakh, I.A. Recognizing Objects from IR Vision Pictures. Measurement Techniques 45, 870–874 (2002). https://doi.org/10.1023/A:1021126713952
Issue Date:
DOI: https://doi.org/10.1023/A:1021126713952