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

被引：1

作者：

Chen, Xuesong ^{[1
]}

Wang, Cheng ^{[1
]}

Xu, Xuejun ^{[1
]}

Zhu, Hongbo ^{[1
]}

Jiang, Shaohua ^{[1
]}

机构：

[1] Huazhong Univ Sci & Technol, Digital Engn Simulat Ctr, Wuhan, Peoples R China

来源：

MANUFACTURING ENGINEERING AND AUTOMATION I, PTS 1-3 | 2011年 / 139-141卷

关键词：

Skeleton; Two-dimensional potential energy; Target recognition;

D O I：

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

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

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.

引用

页码：2051 / 2054

页数：4