Performance Evaluation of Real-Time Video Processing Edge Detection on Various Platforms
Author:
Affiliation:
1. Fatih Sultan Mehmet Vakıf University,Dept. of Electrical-Electronics Eng.,Istanbul,Turkey
2. Marmara University,Dept. of Electrical-Electronics Eng.,Istanbul,Turkey
3. Gebze Technical University,Dept. of Electronics Eng.,Kocaeli,Turkey
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10313141/10313142/10313150.pdf?arnumber=10313150
Reference16 articles.
1. Zynq FPGA Based System Design for Video Surveillance with Sobel Edge Detection
2. FPGA Implementation of Hardware Accelerator for Real-time Video Image Edge Detection
3. Zynq-7000 SoC;Xilinx,0
4. Sobel edge detection system design and integration on an FPGA based HD video streaming architecture
5. A new parallel DSP hardware compatible algorithm for noise reduction and contrast enhancement in video sequence using Zynq-7020
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