NDLI: A Parking-Lines Recognition Algorithm Based on Freeman Chain Code

Content Provider	IEEE Xplore Digital Library
Author	Peng Liu Jianwei Zhang Konghui Guo
Copyright Year	2015
Description	Author affiliation: State Key Lab. of Automobile Simulation & Control, Jilin Univ., Changchun, China (Peng Liu; Jianwei Zhang; Konghui Guo)
Abstract	The Parking-Lines Recognition Algorithm by Freeman Chain Code proposed includes four steps: 1) transform the gray scale images into binary images, 2) using boundaries trace method obtain boundaries in the binary images and calculate Freeman Chain Code for each boundary, 3) propose a method to detect the segmentation points of Freeman Chain Code for each boundaries and divide the boundary into several segments, 4) connect collinear segments together using segments connection algorithm proposed, parameterize the segments and calculate the image coordinates of the junctions of the parking-lines. Experimental results show that the algorithm can recognize the parking-lines effectively and accurately.
Starting Page	349
Ending Page	352
File Size	726550
Page Count	4
File Format	PDF
ISBN	9781479986453
e-ISBN	9781479986460
DOI	10.1109/IHMSC.2015.247
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-08-26
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image segmentation Histograms Line detection Image edge detection Machine vision Gray-scale Parking-lines recognition Freeman Chain Code Junctions Vehicles
Content Type	Text
Resource Type	Article

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