DocumentCode :
2748786
Title :
Robust texture feature extraction using two dimension genetic algorithms
Author :
Zheng, Hong ; Zheng, Zhaobao
Author_Institution :
Dept. of Electr. Eng., Wuhan Tech. Univ. of Surveying & Mapping, China
Volume :
3
fYear :
2000
fDate :
2000
Firstpage :
1580
Abstract :
This paper describes the robust texture feature, which is invariant to rotation and scale changes. The feature is the texture energy associated with a mask generated by two dimension genetic algorithms. The detail procedure and algorithm to generate the mask is discussed in the paper. Moreover, feature extraction experiments on aerial images are done. Experimental results show that the robust feature is effective and the segmentation results are satisfied
Keywords :
feature extraction; genetic algorithms; image texture; stability; 2D genetic algorithms; aerial images; robust texture feature extraction; segmentation; texture energy; Feature extraction; Fractals; Genetic algorithms; Image edge detection; Image segmentation; Image texture analysis; Probability distribution; Robustness; Statistics; Stochastic processes;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Processing Proceedings, 2000. WCCC-ICSP 2000. 5th International Conference on
Conference_Location :
Beijing
Print_ISBN :
0-7803-5747-7
Type :
conf
DOI :
10.1109/ICOSP.2000.893402
Filename :
893402
Link To Document :
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