This paper proposes a comparison of the two most advanced algorithms for connected components labeling, highlighting how they perform on a soft core SoC architecture based on FPGA. In particular we test our block based connected components labeling algorithm, optimized with decision tables and decision trees. The embedded system is composed of the CMOS image sensor, FPGA, DDR SDRAM, USB controller and SPI Flash. Results highlight the importance of caching and instructions and data cache sizes for high performance image processing tasks.

High Performance Connected Components Labeling on FPGA / Grana, Costantino; Borghesani, Daniele; Santinelli, Paolo; Cucchiara, Rita. - STAMPA. - (2010), pp. 221-225. (Intervento presentato al convegno First International Workshop Interactive Multimodal Pattern Recognition in Embedded Systems tenutosi a Bilbao, Spain nel Sep 1) [10.1109/DEXA.2010.57].

High Performance Connected Components Labeling on FPGA

GRANA, Costantino;BORGHESANI, Daniele;SANTINELLI, PAOLO;CUCCHIARA, Rita
2010

Abstract

This paper proposes a comparison of the two most advanced algorithms for connected components labeling, highlighting how they perform on a soft core SoC architecture based on FPGA. In particular we test our block based connected components labeling algorithm, optimized with decision tables and decision trees. The embedded system is composed of the CMOS image sensor, FPGA, DDR SDRAM, USB controller and SPI Flash. Results highlight the importance of caching and instructions and data cache sizes for high performance image processing tasks.
2010
First International Workshop Interactive Multimodal Pattern Recognition in Embedded Systems
Bilbao, Spain
Sep 1
221
225
Grana, Costantino; Borghesani, Daniele; Santinelli, Paolo; Cucchiara, Rita
High Performance Connected Components Labeling on FPGA / Grana, Costantino; Borghesani, Daniele; Santinelli, Paolo; Cucchiara, Rita. - STAMPA. - (2010), pp. 221-225. (Intervento presentato al convegno First International Workshop Interactive Multimodal Pattern Recognition in Embedded Systems tenutosi a Bilbao, Spain nel Sep 1) [10.1109/DEXA.2010.57].
File in questo prodotto:
Non ci sono file associati a questo prodotto.
Pubblicazioni consigliate

Licenza Creative Commons
I metadati presenti in IRIS UNIMORE sono rilasciati con licenza Creative Commons CC0 1.0 Universal, mentre i file delle pubblicazioni sono rilasciati con licenza Attribuzione 4.0 Internazionale (CC BY 4.0), salvo diversa indicazione.
In caso di violazione di copyright, contattare Supporto Iris

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11380/641568
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 6
  • ???jsp.display-item.citation.isi??? ND
social impact