Anzeige
Erschienen in:
2011 | OriginalPaper | Buchkapitel
Hardware/Software Co-design for Image Cross-Correlation
verfasst von : Mauricio A. Dias, Fernando S. Osorio
Erschienen in: Integrated Computing Technology
Verlag: Springer Berlin Heidelberg
Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.
Wählen Sie Textabschnitte aus um mit Künstlicher Intelligenz passenden Patente zu finden. powered by
Markieren Sie Textabschnitte, um KI-gestützt weitere passende Inhalte zu finden. powered by
Cross-correlation is an important image processing algorithm for template matching widely used on computer vision based systems. This work follows a profile-based hardware/software co-design method to develop an architecture for normalized cross-correlation coefficient calculus using Nios II soft-processor. Results present comparisons between general purpose processor implementation and different customized softprocessor implementation considering execution time and the influence of image and sub-image size. Nios II soft-processors configured with floating-point hardware acceleration achieved a 8.31 speedup.