A software-hardware mixed design for the FPGA implementation of the real-time edge detection

Author

El Houari, Kobzili ; Cherrad, Benbouchama ; Zohir, Irki

Author_Institution

E.M.P, Algiers, Algeria

fYear

2010

fDate

10-13 Oct. 2010

Firstpage

4091

Lastpage

4095

Abstract

This paper presents the mixed software-hardware conception approach. The software part was developed by the visual C++ language, and the hardware part was developed by the Handel-C language on FPGA circuit. We also present three methods of edges detection applicable for the real-time image segmentation and objects recognition: Prewitt, Sobel and Canny detectors. A comparison result is obtained between the three detectors implementation. The Targeted circuit is a VirtexII XC2V1000 embedded on an RC200 board.

Keywords

C++ language; edge detection; field programmable gate arrays; hardware-software codesign; image segmentation; object recognition; visual languages; Canny detectors; FPGA circuit; Handel-C language; Prewitt detectors; RC200 board; Sobel detectors; VirtexII XC2V1000; objects recognition; real-time edge detection; real-time image segmentation; software-hardware mixed design; visual C++ language; Equations; Hardware; Image edge detection; Image segmentation; Robustness; Smoothing methods; Table lookup; Co-design; Edge Detection; FPGA; Handel-C; Real-Time Implementation;

fLanguage

English

Publisher

ieee

Conference_Titel

Systems Man and Cybernetics (SMC), 2010 IEEE International Conference on

Conference_Location

Istanbul

ISSN

1062-922X

Print_ISBN

978-1-4244-6586-6

Type

conf

DOI

10.1109/ICSMC.2010.5641774

Filename

5641774