@inproceedings{305a4fb0dbb5497a882de222953bcbd3,
title = "Embedded realization of a adaptive threshold edge detection base on Canny operator",
abstract = "Edge detection that is an important means to realize image segmentation has important application significance in image processing, industrial detection, artificial intelligence and the target recognition field. As the demand for real-time and rapidity in image processing, the embedded image processing technology has been widely applied. But the realization of real-time edge detection for image requires a large amount of data processing, limited system resources of embedded system is the main reason of the embedded image processing technology development. In order to shorten time embedded systems edge detection processing large amounts of data, based on adaptive threshold Canny algorithm, this paper as the FPGA data processing DSP chips and made a FPGA + DSP hardware architecture, effectively improve the system real-time, get a good edge detection results.",
keywords = "Adaptive threshold algorithm, Canny algorithm, DSP, Edge detection, FPGA",
author = "Mu, \{Cheng Po\} and Dong, \{Qing Xian\} and Jie Lian and Peng, \{Ming Song\}",
year = "2014",
doi = "10.4028/www.scientific.net/AMM.543-547.2766",
language = "English",
isbn = "9783038350606",
series = "Applied Mechanics and Materials",
publisher = "Trans Tech Publications",
pages = "2766--2769",
booktitle = "Vehicle, Mechatronics and Information Technologies II",
address = "Germany",
note = "International Conference on Vehicle and Mechanical Engineering and Information Technology, VMEIT 2014 ; Conference date: 19-02-2014 Through 20-02-2014",
}