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Novel VLSI Architectures for Image Segmentation and Edge Detection Algorithm
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 149 - Number 10 |
| Year of Publication: 2016 |
| Authors: Prachi Dewan, Rekha Vig, Neeraj Shukla, B. K. Das |
10.5120/ijca2016911577
|
Prachi Dewan, Rekha Vig, Neeraj Shukla, B. K. Das . Novel VLSI Architectures for Image Segmentation and Edge Detection Algorithm. International Journal of Computer Applications. 149, 10 ( Sep 2016), 32-36. DOI=10.5120/ijca2016911577
Abstract
Field programmable gate arrays (FPGA) are the devices which can be easily employed for image and video processing applications. FPGA implementation is always faster than any other digital signal processor due to its parallel image processing capabilities. This paper proposes the hardware co-simulation model of different traffic signs carried out using Xilinx System Generator tool. The proposed system uses image pre-processing, color conversion, thresholding and edge detection of still grayscale images taken from a distance of 50m. Experimental results show that hardware co-simulation was successful in SPARTAN-3E DSP xc6slx45-3csg324 development board operating at 100MHz system clock.
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