Reconfigurable architecture for binary images invariant moment extraction
Resumen:
Moments of the intensity function of a group of pixels have been used for the representation and recognition of objects in two dimensional images. Due to the high computational cost of evaluating the moments, the search for faster computing architectures is very important. This work presents a soft core architecture for the extraction of invariant moments from binary images, using high density logic programmable devices.
| 2009 | |
| Inglés | |
| Universidad de la República | |
| COLIBRI | |
| https://hdl.handle.net/20.500.12008/38670 | |
| Acceso abierto | |
| Licencia Creative Commons Atribución - No Comercial - Sin Derivadas (CC - By-NC-ND 4.0) |
| Sumario: | Moments of the intensity function of a group of pixels have been used for the representation and recognition of objects in two dimensional images. Due to the high computational cost of evaluating the moments, the search for faster computing architectures is very important. This work presents a soft core architecture for the extraction of invariant moments from binary images, using high density logic programmable devices. |
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