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Proceedings Paper

A new method of extracting region of interest image area with L0 norm
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Paper Abstract

The process of Reference image preparation, is to extract region of interest area from a image,to get a simplified image which be used as template image for other algorithms.Because of the complex of scene,one usually need to excute a set of different algorithms to get a final image which only has the information of interest area. This paper presents a new variational model which used L0 norm for idelity item, to keep information of interested area better, while removing other redundant information. Experiments show that,this method can remove information of grediant in some special range,to handle a more general case,compared with the original L0 gradient method which can only remove low frequency information. Compared with the same variational model but using L1orL2 norm,the proposed method can well retain the original information.Those advantages is very important for making the process of reference image preparation faster and easier

Paper Details

Date Published: 14 December 2015
PDF: 6 pages
Proc. SPIE 9812, MIPPR 2015: Automatic Target Recognition and Navigation, 981205 (14 December 2015); doi: 10.1117/12.2203576
Show Author Affiliations
Yaozong Zhang, Huazhong Univ. of Science and Technology (China)
Chuan Zhang, Huazhong Univ. of Science and Technology (China)
Mingxing Xu, Huazhong Univ. of Science and Technology (China)


Published in SPIE Proceedings Vol. 9812:
MIPPR 2015: Automatic Target Recognition and Navigation
Nong Sang; Xinjian Chen, Editor(s)

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