Open Access Open Access  Restricted Access Subscription or Fee Access

Hardware/Software Co-Simulation of Gradient-based Edge Detectors: A Comparative Study

Kazi Ahmed Asif Fuad, Shahriyar Masud Rizvi

Abstract


Edge detection, a segmentation technique, produces an edge map that contains important information about the image. We realized Gradient-based Edge Detection Algorithms in FPGA hardware utilizing Hardware-Software Co-Simulation with the help of Simulink (Mathworks) and System Generator (Xilinx). We explored and utilized different gradient based edge detection operators Sobel-Fieldman, Robert and Prewitt Operator. After comparative analysis, we found both Sobel and Robert operators among the best with hardware realization of Robert operator utilizing less resources (LUT & Flip-Flops). All the algorithms were synthesized for Spartan-6 LX16 FPGAs from Xilinx.            


Keywords


Sobel-Fieldman Operator, Robert Operator, Prewitt Operator, Xilinx System Generator, Spartan 6 FPGA

Full Text:

PDF

Refbacks

  • There are currently no refbacks.