Skeleton-Based Feature Extraction Method for Two-Dimensional Potential Energy

Xue Song Chen; Cheng Wang; Xue Jun Xu; Hong Bo Zhu; Shao Hua Jiang

doi:10.4028/www.scientific.net/AMR.139-141.2051

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 139-141Skeleton-Based Feature Extraction Method for...

Skeleton-Based Feature Extraction Method for Two-Dimensional Potential Energy

Abstract:

A good feature extraction method can improve the performance of pattern recognition system or classification system. Using potential energy theory into binary image feature extraction and feature store is a new method for image processing. The skeleton can be better display the whole features of the object. In target recognition system, using potential energy of skeleton-point projection into the plane coordinate system. The method can be better to show a skeleton in the structural feature. In addition, it can better avoid the matrix storage redundancy. In all energy projection method, potential energy projection is better shown its superiority in the structure information, the time of consumption and the storage space. The skeleton potential energy can be used in target recognition and target classification field and so on.

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Periodical:

Advanced Materials Research (Volumes 139-141)

Pages:

2051-2054

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.139-141.2051

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Online since:

October 2010

Authors:

Xue Song Chen, Cheng Wang, Xue Jun Xu, Hong Bo Zhu, Shao Hua Jiang

Keywords:

Skeleton, Target Recognition, Two-Dimensional Potential Energy

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