19 August 2010 Spatial object classification and recognition based on symmetric fuzzy relative entropy
Author Affiliations +
Proceedings Volume 7820, International Conference on Image Processing and Pattern Recognition in Industrial Engineering; 78200R (2010) https://doi.org/10.1117/12.867496
Event: International Conference on Image Processing and Pattern Recognition in Industrial Engineering, 2010, Xi'an, China
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.
© (2010) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Yufeng Shi, Jian Chen, "Spatial object classification and recognition based on symmetric fuzzy relative entropy", Proc. SPIE 7820, International Conference on Image Processing and Pattern Recognition in Industrial Engineering, 78200R (19 August 2010); doi: 10.1117/12.867496; https://doi.org/10.1117/12.867496
PROCEEDINGS
7 PAGES


SHARE
Back to Top