Abstract
Fast image processing is a key element in achieving real-time image and video analysis. Here, a novel framework based on a spiral architecture is used to facilitate fast image processing, in particular, fast corner detection. Unlike a conventional image addressing scheme where the picture elements are indexed using two-dimensional Cartesian coordinates, a spiral addressing scheme enables the image to be stored and indexed as a one-dimensional vector. Image processing is hastened through the combined use of the one-dimensional structure and a lookup table. The performance is evaluated by the application of a corner detector based on the Harris corner detection algorithm. The results demonstrate the efficiency of the proposed approach compared with a typical two-dimensional implementation.
| Original language | English |
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| Title of host publication | Unknown Host Publication |
| Publisher | Irish Pattern Recognition and Classification Society |
| Number of pages | 7 |
| ISBN (Print) | 978-0-9934207-1-9 |
| Publication status | Published online - 3 Nov 2016 |
| Event | Irish Machine Vision and Image Processing Conference 2016 - NUI Galway, Ireland Duration: 3 Nov 2016 → … |
Conference
| Conference | Irish Machine Vision and Image Processing Conference 2016 |
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| Period | 3/11/16 → … |
Keywords
- Fast Image Processing
- Spiral Architecture
- Corner Detection
- Lookup Table
- Eye Tremor
