(14-15(01)) * << * >> * Russian * English * Content * All Issues

Application of polynomial bases for image processing using sliding window
N.I. Glumov, V.V. Myasnikov, V.V. Sergeev

 PDF, 2277 kB

Pages: 55-68.

Full text of article: Russian language.

Abstract:
The solution of many issues of digital image processing and visual recognition is based on the use of a simple computational procedure, the essence of which is as follows. The configuration of the “processing window”, a two-dimensional area covering a finite set of the input image readings, is specified. In the course of processing, this window moves over the image, and takes sequentially all possible positions in the plane of discrete arguments, i.e. “slides”. For each window position, the output (processed) reading corresponding to the center of the window is calculated based on the input readings contained in it.

Citation:
Glumov NI. Myasnikov VV, Sergeev VV. Application of polynomial bases for image processing using sliding window. Computer Optics 1995; 14-15(1): 55-68.

References:

  1. Dudgeon D, Mersereau R. Multidimensional Digital Signal Processing; Moscow: Mir Publisher; 1988; 488.
  2. Nussbaumer H. Fast Fourier Transform and Convolution Computation Algorithms; Moscow: Radio i Svyaz; 1985; 248.
  3. Yaroslavsky LP. On the possibility of parallel and recursive organization of digital filters. Radiotehnika Publisher; 1984; 3: 87- 91.
  4. Sergeev VV. Parallel-recursive FIR-filters for image processing. Radiotehnika Publisher; 1990; 8: 38-41.
  5. Glumov NI, Krainukov NI, Sergeyev VV, Khramov AG. The Fast Algorithm of Image Approximation in a Sliding Window. Pattern Recognition and Image Analysis; 1991; 4: 424-426.
  6. 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: 72-88.
  7. Teh SN, Chin RT. On Image Analysis by the Methods of Moments. IEEE Trans. Pattern Anal. and mach. Intell; 1988; 10(4): 496- 513.
  8. Dedus FF, Dedus AF, Ustinin MN. A New Data Processing Technology for Pattern Recognition and Image Analysis Problems. Pattern Recognition and Image Analysis; 1992; 2: 195-207.
  9. Maitra S. Moment invariants. TIIER; 1979; 4: 297-299.
  10. Sergeev VV, Frolova LG. Calculation of parallel FIR filters for some tasks of signal and image processing. Computer Optics; Moscow: 1992; 12: 204-230.
  11. Tu J, Gonzalez R. Principles of pattern recognition; Moscow: Mir Publisher; 1978; 412.
  12. Kutin GI. Ranking methods for feature complexes. Overview. Foreign Radio Electronics; 1981; 9: 54-70.
  13. Gold B, Raider C. Digital signal processing; Moscow: Sov. Radio Publisher; 1973; 367 .

© 2009, IPSI RAS
151, Molodogvardeiskaya str., Samara, 443001, Russia; E-mail: journal@computeroptics.ru ; Tel: +7 (846) 242-41-24 (Executive secretary), +7 (846) 332-56-22 (Issuing editor), Fax: +7 (846) 332-56-20