| dc.contributor.author | Cree, Michael J. | en_NZ |
| dc.coverage.spatial | Auckland, New Zealand | en_NZ |
| dc.date.accessioned | 2015-12-03T01:49:12Z | |
| dc.date.available | 2015 | en_NZ |
| dc.date.available | 2015-12-03T01:49:12Z | |
| dc.date.issued | 2015 | en_NZ |
| dc.identifier.citation | Cree, M. J. (2015). Vectorised SIMD Implementations of Morphology Algorithms. In Proceedings of the Image and Vision Computing New Zealand, 23-24 November 2015, Auckland, New Zealand. | en |
| dc.identifier.uri | https://hdl.handle.net/10289/9785 | |
| dc.description.abstract | We explore vectorised implementations, exploiting single instruction multiple data (SIMD) CPU instructions on commonly used architectures, of three efficient algorithms for morphological dilation and erosion. We discuss issues specific to SIMD implementation and describe how they guide algorithm choice. We compare our implementations to a commonly used opensource SIMD accelerated machine vision library and find orders of magnitude speed-ups can be achieved for erosions using two-dimensional structuring elements. | |
| dc.format.mimetype | application/pdf | |
| dc.language.iso | en | |
| dc.rights | This is an author’s accepted version of an paper published in the proceedings of Image and Vision Computing New Zealand 2015. ©2015 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE. | |
| dc.source | Image and Vision Computing New Zealand 2015 | en_NZ |
| dc.title | Vectorised SIMD Implementations of Morphology Algorithms | en_NZ |
| dc.type | Conference Contribution | |
| pubs.begin-page | 1 | |
| pubs.elements-id | 134175 | |
| pubs.end-page | 6 | |
| pubs.finish-date | 2015-11-24 | en_NZ |
| pubs.publisher-url | https://ivcnz2015.aut.ac.nz/ | en_NZ |
| pubs.start-date | 2015-11-23 | en_NZ |
