An approximation-based approach to computing image moment invariants |
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Authors: | V V Sergeev O A Titova |
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Affiliation: | (1) Image Processing Systems Institute, Russian Academy of Sciences, ul. Molodogvardeiskaya 151, Samara, 443001, Russia;(2) Samara State Aerospace University, Moskovskoe sh. 34, Samara, 443086, Russia |
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Abstract: | A fast method for computing Hu’s image moment invariants is described. The invariants are found by approximation using generalized
moments computed in a sliding window by a parallel recursive algorithm. The proposed method is shown to be computationally
more efficient than direct computation.
Vladislav V. Sergeev. Born 1951. Graduated from the Kuibyshev Aviation Institute (now, the Samara State Aerospace University) in 1974. Received
doctoral degree (Dr. Sc. (Eng.)) in 1993. Head of Laboratory of Mathematical Methods of Image Processing, Image Processing
Systems Institute, Russian Academy of Sciences. Scientific interests: digital signal processing, image analysis, pattern recognition,
and geoinformatics. Author of more than 150 publications, including about 40 papers in journals, and a co-author of 2 monographs.
Chair of the Volga-region Branch of the Russian Federation Association for Pattern Recognition and Image Analysis. Corresponding
Member of the Russian Ecological Academy and the Russian Academy of Engineering, member of SPIE (The International Society
for Optical Engineering), a winner of the Samara District Award for Science and Engineering.
Ol’ga A. Titova. Born 1980. Graduated from the Samara State Aerospace University (SSAU) in 2002. Currently post-graduate student at the Chair
of Geoinformatics, SSAU. Scientific interests: image analysis, pattern recognition, fast algorithms of digital image processing,
and geoinformatics. Author of nine publications including three papers in journals. Member of the Russian Federation Association
for Pattern Recognition and Image Analysis. |
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