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Fast Overlapping Block Processing Algorithm for Feature Extraction
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SYSNO ASEP 0556266 Document Type J - Journal Article R&D Document Type Journal Article Subsidiary J Článek ve WOS Title Fast Overlapping Block Processing Algorithm for Feature Extraction Author(s) Abdulhussain, S. H. (IQ)
Mahmmod, B. M. (IQ)
Flusser, Jan (UTIA-B) RID, ORCID
AL-Utaibi, K. A. (SA)Number of authors 4 Article number 715 Source Title Symmetry-Basel. - : MDPI
Roč. 14, č. 4 (2022)Number of pages 13 s. Publication form Online - E Language eng - English Country CH - Switzerland Keywords overlapping block processing ; feature extraction ; orthogonal polynomials ; orthogonal moments Subject RIV JD - Computer Applications, Robotics OECD category Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8) R&D Projects GA21-03921S GA ČR - Czech Science Foundation (CSF) Method of publishing Open access Institutional support UTIA-B - RVO:67985556 UT WOS 000787427200001 EID SCOPUS 85128291521 DOI 10.3390/sym14040715 Annotation In many video and image processing applications, the frames are partitioned into blocks, which are extracted and processed sequentially. In this paper, we propose a fast algorithm for calculation of features of overlapping image blocks. We assume the features are projections of the block on separable 2D basis functions (usually orthogonal polynomials) where we benefit from the symmetry with respect to spatial variables. The main idea is based on a construction of auxiliary matrices that virtually extends the original image and makes it possible to avoid a time-consuming computation in loops. These matrices can be pre-calculated, stored and used repeatedly since they are independent of the image itself. We validated experimentally that the speed up of the proposed method compared with traditional approaches approximately reaches up to 20 times depending on the block parameters. Workplace Institute of Information Theory and Automation Contact Markéta Votavová, votavova@utia.cas.cz, Tel.: 266 052 201. Year of Publishing 2023 Electronic address https://www.mdpi.com/2073-8994/14/4/715
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