Share Email Print
cover

Proceedings Paper

Spatial object classification and recognition based on symmetric fuzzy relative entropy
Author(s): Yufeng Shi; Jian Chen
Format Member Price Non-Member Price
PDF $17.00 $21.00

Paper Abstract

Based on fuzzy set theory, entropy, relative entropy and fuzzy entropy, the symmetric fuzzy relative entropy(SFRE) is presented, which not only has a full physical meaning, but also has succinct practicability. The symmetric fuzzy relative entropy can be used to measure the divergence between different fuzzy patterns. The example demonstrates that the symmetric fuzzy relative entropy is valid and reliable for spatial object recognition and classification, and its classification precision is very high.

Paper Details

Date Published: 19 August 2010
PDF: 7 pages
Proc. SPIE 7820, International Conference on Image Processing and Pattern Recognition in Industrial Engineering, 78200R (19 August 2010); doi: 10.1117/12.867496
Show Author Affiliations
Yufeng Shi, Nanjing Forestry Univ. (China)
Jian Chen, Nanjing Forestry Univ. (China)


Published in SPIE Proceedings Vol. 7820:
International Conference on Image Processing and Pattern Recognition in Industrial Engineering
Shaofei Wu; Zhengyu Du; Shaofei Wu; Zhengyu Du; Shaofei Wu; Zhengyu Du, Editor(s)

© SPIE. Terms of Use
Back to Top