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

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 segmentat...

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Bibliographic Details
Main Authors: El Houari, K, Cherrad, B, Zohir, I
Format: Conference Proceeding
Language:English
Subjects:
Co-design
Edge Detection
Equations
FPGA
Handel-C
Hardware
Image edge detection
Image segmentation
Real-Time Implementation
Robustness
Smoothing methods
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Summary: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.
ISSN:1062-922X
2577-1655
DOI:10.1109/ICSMC.2010.5641774