Title :
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
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;
Conference_Titel :
Systems Man and Cybernetics (SMC), 2010 IEEE International Conference on
Conference_Location :
Istanbul
Print_ISBN :
978-1-4244-6586-6
DOI :
10.1109/ICSMC.2010.5641774
