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Journal of Applied Sciences
  Year: 2008 | Volume: 8 | Issue: 21 | Page No.: 3969-3974
DOI: 10.3923/jas.2008.3969.3974
Research of Invariant Moments and Improved Support Vector Machine in Micro-Targets Identification
Xiangjin Zeng, Xinhan Huang and Min Wang

Abstract:
In order to identify multi micro objects, an improved support vector machine algorithm is present, which employs invariant moments based edge extraction to obtain feature attribute and then presents a heuristic attribute reduction algorithm based on rough set`s discernibility matrix to obtain attribute reduction, with using support vector machine to identify and classify the targets. According to the feature attribute, the effectiveness of identifying multi micro objects using support vector machine is compared with the proposed improved support vector machine classification method. The experiment results under micro vision environment show that the proposed improved support vector machine classification method can meet the system application requirement, with the resolution is 95%.
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How to cite this article:

Xiangjin Zeng, Xinhan Huang and Min Wang, 2008. Research of Invariant Moments and Improved Support Vector Machine in Micro-Targets Identification. Journal of Applied Sciences, 8: 3969-3974.

DOI: 10.3923/jas.2008.3969.3974

URL: https://scialert.net/abstract/?doi=jas.2008.3969.3974

 
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