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Development and application of moment invariants for image processing in a sliding window
N.I. Glumov

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Pages: 46-54.

Full text of article: Russian language.

Abstract:
Moment characteristics of images and moment invariants calculated on their basis are applied widely to many digital image processing problems [1-6]. The main advantage of moment invariants is the insensitivity to image rotations, which makes them effective if used as the markers when detecting and recognizing the objects with unknown orientation on the image. When using the “sliding window” information technology for image processing, the use of moment invariants is particularly relevant due to the possibility of parallel-recursive calculation of local moment characteristics [7,8].

Citation:
Glumov NI. Development and application of moment invariants for image processing in a sliding window. Computer Optics 1995; 14-15(1): 46-54.

References:
  1. Anisimov BV, Kurganov VD, Zlobin VK. Recognition and digital image processing. Moscow: Vysshaya Shkola Publisher; 1983; 295.
  2. Pratt WK. Digital Image Processing; Moscow: Mir Publisher; 1982; 2: 792.
  3. Abu-Mostafa Y, Psaltis D. Image Normalization by Complex Moments. IEEE Trans. Pattern Anal.Mach.Intell; 1985; 46-55.
  4. Abu-Mostafa Y, Psaltis D. Recognitive Aspects of Moment Invariants. IEEE Trans. Pattern Anal.Mach.Intell; 1984; 698-706.
  5. Maghsoodi R, Rezaie B. Image Registration Using a Fast Adaptive Algorithm. Methods of Handling and Processing Image. SPIE; 1987; 757: 58-63.
  6. Maitra S. Moment invariants. TIIER; 1979; 4: 297-299.
  7. Glumov NI, Krainukov NI, Sergeev VV, Khramov AG. The Fast Algorithm of Image Approximation in a Sliding Window. Pattern Recognition and Image Analysis; 1991; 4: 424-426.
  8. Glumov NI, Kolomiets EI, Sergeev VV. Information technology for detection of objects on the image using a sliding window mode. Nauchnoe Priborostroenie Publisher; 1993; 1.
  9. Tu J, Gonzalez R. Principles of pattern recognition. - Moscow: Mir Publisher; 1978; 412.
  10. Kutin GI. Ranking methods for feature complexes. Overview. Foreign Radio Electronics; 1981; 9: 54-70 .

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