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