Title :
A Contour Extraction Method for the Image of the Air Motor Single Station´s Target
Author :
Yu, Jun ; Liu, Zhong ; Huang, Liang
Author_Institution :
Naval Univ. of Engeering, Wuhan, China
Abstract :
In this paper, a new contour extraction method is proposed to support the actual needs of the air motor single station´s passive detection. On the basis of the GVF-Snake model, the proposed snake model introduces the image area information. The experimental results show that the model is less sensitive to the initialization of the contour, better able to converge to the true outline of the goals. The model can also make improvements on the contour extraction to the highly concave boundary of the object.
Keywords :
feature extraction; object detection; GVF-snake model; air motor single station target passive detection; concave boundary; contour extraction method; image area information; Algorithm design and analysis; Analytical models; Atmospheric modeling; Computational modeling; Image edge detection; Load modeling; Vectors; GVF-Snake model; LGVF-Snake model; Traditional Snake Model; contour extraction; energy functional;
Conference_Titel :
Intelligent Human-Machine Systems and Cybernetics (IHMSC), 2012 4th International Conference on
Conference_Location :
Nanchang, Jiangxi
Print_ISBN :
978-1-4673-1902-7
DOI :
10.1109/IHMSC.2012.24
