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.
| Original language | English |
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| Title of host publication | Unknown Host Publication |
| Publisher | International Association of Pattern Recognition |
| Number of pages | 8 |
| Publication status | Published (in print/issue) - 26 Aug 2015 |
| Event | Irish Machine Vision and Image Processing (IMVIP) - Dublin, Ireland Duration: 26 Aug 2015 → … |
Conference
| Conference | Irish Machine Vision and Image Processing (IMVIP) |
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| Period | 26/08/15 → … |
Keywords
- spiral addressing scheme
- multiscale operator
- fast image processing
- edge detection
