Title
A Circle Detection Method Based on Optimal Parameter Statistics in Embedded Vision
Abstract
In this paper, we propose a circle detection method based on the optimal parameter statistics (OPSCD). Our method employs fast median filtering based Canny edge detection algorithm (FMFCanny) to obtain edge information. In addition, real-time three points determination circle detection is implemented in FPGA circuit which takes use of the optimal parameters statistics. In this algorithm, the pipeline processing of FIFO and parallelize operation of registers in FPGA detects single circle in videos. Experimental results show that the proposed method is more accurate and robust than the previous algorithm.
Year
DOI
Venue
2012
10.1007/978-3-642-34595-1_60
ADVANCES ON DIGITAL TELEVISION AND WIRELESS MULTIMEDIA COMMUNICATIONS
Keywords
Field
DocType
embedded vision,circle detection,fast median filtering,FPGA
Computer vision,Canny edge detector,Median filter,FIFO (computing and electronics),Computer science,Field-programmable gate array,Artificial intelligence,Statistics
Conference
Volume
ISSN
Citations 
331
1865-0929
1
PageRank 
References 
Authors
0.35
2
5
Name
Order
Citations
PageRank
Xiaofeng Lu14315.80
xiangwei li210.35
sumin shen310.35
kang he433.83
Yu Song535652.74