DocumentCode
1742714
Title
A nonlinear texture operator specialised in the analysis of dot-patterns
Author
Kruizinga, P. ; Petkov, N.
Author_Institution
Inst. of Math. & Comput. Sci., Groningen Univ., Netherlands
Volume
1
fYear
2000
fDate
2000
Firstpage
197
Abstract
The performance of two well-known texture operators (based on Gabor energy and the cooccurrence matrix) is compared with the performance of a new, biologically motivated texture operator, the dot-pattern selective cell operator. The comparison is made using a quantitative method based on the Mahalanobis distance. Together with some classification experiments the comparison shows a clear superiority of the new operator in dot-pattern texture problems
Keywords
feature extraction; image texture; matrix algebra; pattern classification; Gabor energy; Mahalanobis distance; cooccurrence matrix; dot-pattern selective cell operator; dot-patterns analysis; nonlinear texture operator; quantitative method; Biology computing; Brain modeling; Cells (biology); Computational modeling; Detectors; Ear; Feature extraction; Filtering; Gaussian processes; Mathematics;
fLanguage
English
Publisher
ieee
Conference_Titel
Pattern Recognition, 2000. Proceedings. 15th International Conference on
Conference_Location
Barcelona
ISSN
1051-4651
Print_ISBN
0-7695-0750-6
Type
conf
DOI
10.1109/ICPR.2000.905302
Filename
905302
Link To Document