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
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;
Conference_Titel :
Advanced Computer Control (ICACC), 2010 2nd International Conference on
Conference_Location :
Shenyang
Print_ISBN :
978-1-4244-5845-5
DOI :
10.1109/ICACC.2010.5487085