The use of texture measures in improving mine classification performance

Oceans Conference Record (IEEE)

Volumn 2, Issue , 2003, Pages 1103-1109

  Bello, Martin G ^a   Dobeck, Gerald J ^b  

^a BAE SYSTEMS   (United Kingdom)

^b NSWC Coastal Systems Station   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; BOMBS (ORDNANCE); COMPUTER APPLICATIONS; IMAGE QUALITY; IMAGE SEGMENTATION; SONAR; TEXTURES;

COOCCURRENCE MATRIX RELATED FACTORS; MINE CLASSIFICATION; MINE HUNTING ALGORITHM; MULTILAYER PERCEPTRON NETWORKS;

UNDERWATER IMAGING;

EID: 1542506941     PISSN: 01977385     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/oceans.2003.178497     Document Type: Conference Paper

References (5)

1. Haralick, R.M. et al., "Textural Features for Image Classification", IEEE Transactions on Systems, Man, and Cybernetics, V. SMC-3, No. 6, November 1973, pp. 610-621.
2. D.H. Kill et al., "Reducing Model- and Data Mismatch Errors in Image Compression by Combining Region Dependent Transform-Coefficient Encoding with Normalization and Content-Adaptive Coding", (submitted for publication to the IEEE Journal of Ocean Engineering).
3. M.G. Bello, "A Markov Random Field Based Anomaly Screening Algorithm", Proceeding of SPIE '95, Vol. 2496, April 1995.
4. R. Haralick and L. Shapiro, Computer and Robot Vision Volume-I. Addison Wesley Publishing Co., Reading, Mass., 1992.
5. M. G. Bello, "Comparison of Parametric and Nonparametric ROC Confidence Bound Construction in the Context of Acoustic/Magnetic Fusion Systems for Mine Hunting", Proceedings of SPIE'98, Orlando, Florida, April 1998.