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Multiscale “Squiral" (Square-Spiral) Image Processing

Jing, Min, Coleman, SA, Bryan, Scotney and McGinnity, TM (2015) Multiscale “Squiral" (Square-Spiral) Image Processing. In: Irish Machine Vision and Image Processing (IMVIP), Dublin, Ireland. IAPR. 8 pp. [Conference contribution]

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Abstract

In this paper, we present a multiscale “squiral" (square spiral) image processing (SIP) framework. Anefficient spiral addressing scheme is deployed for standard pixel based square images to facilitate fast imageprocessing. A SIP-based convolution technique is developed by simulating the “eye tremor" phenomenon ofthe human visual system. The multiscale SIP operators are constructed by converting existing square imageoperators according to the SIP addressing scheme. The results of edge detection based on three-layer SIPimages and SIP operator at four different scales demonstrate the efficiency of the proposed framework bycomparison with standard 2D convolution.

Item Type:Conference contribution (Speech)
Keywords:spiral addressing scheme, multiscale operator, fast image processing, edge detection
Faculties and Schools:Faculty of Computing & Engineering
Faculty of Computing & Engineering > School of Computing and Information Engineering
Faculty of Computing & Engineering > School of Computing and Intelligent Systems
Research Institutes and Groups:Computer Science Research Institute > Intelligent Systems Research Centre
Computer Science Research Institute
Computer Science Research Institute > Information and Communication Engineering
ID Code:32256
Deposited By: Dr Min Jing
Deposited On:04 Sep 2015 09:09
Last Modified:04 Sep 2015 09:09

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