DocumentCode
2211866
Title
Potential Energy Theory Based on Image Processing
Author
Chen, Xuesong ; Wang, Cheng ; Xu, Xuejun ; Zhu, Hongbo ; Jiang, Shaohua
Author_Institution
Digital Eng. Simulation Center, Huazhong Univ. of Sci. & Technol., Wuhan, China
fYear
2010
fDate
7-8 Aug. 2010
Firstpage
100
Lastpage
103
Abstract
Potential energy theory is a new method to extract target feature and recognize the target in image processing. Potential energy theory, when used for image processing, is faster, more efficient, and more accurate in target feature extraction. The data are easy to extract, and occupy small storage space, what´s more, they are simple to be computed with distinct features. Potential energy theory can also improve target recognition speed and recognition rate for the processing of target classification and target recognition. It is a totally new theory and method for image processing.
Keywords
feature extraction; image processing; object recognition; image processing; potential energy theory; target feature extraction; feature extraction; image processing; potential energy; target recognition;
fLanguage
English
Publisher
ieee
Conference_Titel
Multimedia Communications (Mediacom), 2010 International Conference on
Conference_Location
Hong Kong
Print_ISBN
978-0-7695-4136-5
Type
conf
DOI
10.1109/MEDIACOM.2010.14
Filename
5694154
Link To Document