Back to List

Quick answer

FPGA-Based Edge Detection Using HLS is an open source FPGA project from Hackster.io, indexed by ZouIC. Leveraging HLS functions to create a image processing solution which implements edge detection (Sobel) in programmable logic.

Source
Hackster.io
Focus
FPGA
Author
Adam Taylor
Published
2018-06-29

Common questions

What does FPGA-Based Edge Detection Using HLS do?

Leveraging HLS functions to create a image processing solution which implements edge detection (Sobel) in programmable logic.

Where does FPGA-Based Edge Detection Using HLS come from?

ZouIC indexes it from Hackster.io, original page at https://www.hackster.io/adam-taylor/fpga-based-edge-detection-using-hls-192ad2.

What stack does FPGA-Based Edge Detection Using HLS use?

tags AMD Xilinx, tutorial, intermediate.

When was FPGA-Based Edge Detection Using HLS published?

The source page lists 2018-06-29.

FPGA-Based Edge Detection Using HLS
Hackster.io All from this source License per the original page fpga

Indexed by ZouIC from the source platform public page, for developer reference only. Copyright and licensing stay with the author; get code and files from the original platform.

FPGA-Based Edge Detection Using HLS

Published 2018-06-29

Leveraging HLS functions to create a image processing solution which implements edge detection (Sobel) in programmable logic.

Technical Specifications

Source platform
Hackster.io
Listing note
Metadata fetched from the public platform page; copyright belongs to the original author.
Difficulty
intermediate
content type
tutorial

Related resources and purchase links

Statistics

respects
135
views
44146

Project Info

Source PlatformHackster.io
Categoryfpga
LicenseLicense per the original page
Views44146
Likes135
Discussions0

Author Info

Adam Taylor
View Profile

Citation Note

This content is sourced from Hackster.io Platform,All rights reserved by the original author. This platform only provides indexing and summaries. For detailed content, please visit the original link.

License per the original page
Created by GeekWaedon @GeekWaedon
Hardware maker and AI practitioner. This entire website was built hands-on with AI tools.
Join my Knowledge PlanetWeChat: search "GeekWaedon"