Edge detection is one of the most important
application in image processing. Field-Programmable Gate Arrays (FPGAs) have
become popular computing platforms for signal and image processing. The
Zynq-7000 System on Chip (SOC) is a dual-processor platform with shared memory.
The thesis describes a novel and fast implementation of Sobel edge detection
using the Zynq-7000 SoC. Our implementation is a combination of software and
hardware using the Vivado HLS and Zynq (SoC). As a result our implementation is
fast. We make a comparison with other conventional edge detection techniques
and show that the speed of operation of this design is much faster.
| Identifer | oai:union.ndltd.org:purdue.edu/oai:figshare.com:article/12252704 |
| Date | 06 May 2020 |
| Creators | Mohammad Tasneem Obaid (8801369) |
| Source Sets | Purdue University |
| Detected Language | English |
| Type | Text, Thesis |
| Rights | CC BY 4.0 |
| Relation | https://figshare.com/articles/EFFICIENT_IMPLEMENTATION_OF_SOBEL_EDGE_DETECTION_WITH_ZYNQ-7000/12252704 |
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