Abstract
A systematic design procedure is used to develop Laplacian operators that facilitate the computation of hexagonal feature map pyramids. Our focus is the development of algorithms that can operate on hexagonal images over a range of scales. We show how scalable operators can be explicitly constructed using a Gaussian neighbourhood function. We extend this approach to achieve an efficient approximation via a feature map pyramid that implicitly embodies operator scaling. In both cases we provide performance evaluation with respect to edge localisation.
Original language | English |
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Title of host publication | Unknown Host Publication |
Publisher | IEEE Signal Processing Society |
Pages | 1466-1469 |
Number of pages | 4 |
ISBN (Print) | 978-1-4244-4296-6 |
Publication status | Published (in print/issue) - 16 Mar 2010 |
Event | IEEE International Conference on Acoustics, Speech and Signal Processing 2010 - Dallas, Texas Duration: 16 Mar 2010 → … |
Conference
Conference | IEEE International Conference on Acoustics, Speech and Signal Processing 2010 |
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Period | 16/03/10 → … |