DocumentCode :
811725
Title :
Classification of natural textures by means of two-dimensional orthogonal masks
Author :
Cohen, P. ; LeDinh, C.T. ; Lacasse, V.
Author_Institution :
Dept. of Electr. Eng., Ecole Polytech. of Montreal, Que., Canada
Volume :
37
Issue :
1
fYear :
1989
Firstpage :
125
Lastpage :
128
Abstract :
An approach to texture classification in which each local neighborhood is transformed reversibly into a minimal set of uncorrelated features is described. These features are found to represent local average, as well as first- and second-order derivative information of the texture. Comparison to other techniques of similar complexity, using identical classification procedures, shows the superiority of the proposed approach. Moreover, this approach leads directly to a real-time parallel implementation.<>
Keywords :
pattern recognition; classification procedures; derivative information; real-time parallel implementation; texture classification; two-dimensional orthogonal masks; uncorrelated features; Covariance matrix; Filters; Image analysis; Image texture analysis; Minerals; Petroleum; Probability; Signal processing; Speech processing; Speech recognition;
fLanguage :
English
Journal_Title :
Acoustics, Speech and Signal Processing, IEEE Transactions on
Publisher :
ieee
ISSN :
0096-3518
Type :
jour
DOI :
10.1109/29.17510
Filename :
17510
Link To Document :
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