DocumentCode
2678597
Title
An approach on characteristic lines extracting of gray images using moment of inertia
Author
Liang, Nan ; Guo, Lei ; Wang, Ying
Author_Institution
Coll. of Autom., Northwestern Polytech. Univ., Xi´´an, China
Volume
5
fYear
2010
fDate
27-29 March 2010
Firstpage
379
Lastpage
382
Abstract
A novel method on characteristic lines extracting of digital images is presented in this paper by using the moment of inertia theory, which is used to extract the characteristic lines in digital images through treating them as rigid bodies. The characteristic lines process scale and rotation invariant inherently. Experimental results manifest that using the angle difference between characteristic lines in an original image and a rotated and scale changed image. The rotation angle of this image can be calculated correctly. The characteristic line can be also used to detect the symmetry axis of a symmetry region.
Keywords
feature extraction; characteristic lines; gray image extraction; moment of inertia theory; process scale; rotation angle; rotation invariant; symmetry axis detection; Automation; Digital images; Educational institutions; Pixel; Rotation measurement; characteristic line; gray image; moment of inertia; scale and rotation invariant; symmetry axis detection;
fLanguage
English
Publisher
ieee
Conference_Titel
Advanced Computer Control (ICACC), 2010 2nd International Conference on
Conference_Location
Shenyang
Print_ISBN
978-1-4244-5845-5
Type
conf
DOI
10.1109/ICACC.2010.5487085
Filename
5487085
Link To Document