Open AccessDesign of Fast Detection and Tracking System Based on FPGA
Author(s) -
Feng Tian,
Lei Wang,
Yu Xiong
Publication year - 2020
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/719/1/012036
Subject(s) - sobel operator , computer science , edge detection , computation , field programmable gate array , noise (video) , computer vision , computational complexity theory , enhanced data rates for gsm evolution , image (mathematics) , window (computing) , artificial intelligence , tracking (education) , deriche edge detector , image gradient , algorithm , image processing , computer hardware , psychology , pedagogy , operating system
Aiming at the problem that the classical Sobel edge detection algorithm is sensitive to noise and has a large amount of computation, an adaptive fast edge detection algorithm is proposed. Firstly, some background information which we are not interested in is removed through adaptive window to reduce the computational complexity. Then, Sobel operator is used to detect the real-time edge of the image in the window, and then morphological optimization is carried out. The fast detection algorithm in this paper is implemented on the FPGA. The results show that this method can effectively detect image edges and make the image edges clearer. At the same time, it can greatly reduce the noise and computational load in the image and reduce the power consumption.