DocumentCode
3056500
Title
Texture segmentation and region classification by orthogonal decomposition of co-occurrence matrices
Author
Haddon, J.F. ; Boyce, J.F.
Author_Institution
Defence Res. Agency, R. Aerosp. Estab., Farnborough, UK
fYear
1992
fDate
30 Aug-3 Sep 1992
Firstpage
692
Lastpage
695
Abstract
Techniques are presented for determining the periodicity and scale of texture; this information is used to define an adaptive transform based on edge co-occurrence matrices for segmenting textured regions. The texture of the region is characterised by an orthogonal decomposition of the co-occurrence matrix using 2-dimensional discrete Hermite functions. The coefficients of this decomposition provide a low order feature vector which can be used for texture classification
Keywords
image segmentation; image texture; matrix algebra; 2-dimensional discrete Hermite functions; adaptive transform; co-occurrence matrices; image texture; orthogonal decomposition; periodicity; region classification; texture classification; texture segmentation; Adaptive control; Aerospace control; Discrete transforms; Fourier transforms; Image analysis; Image processing; Image segmentation; Matrix decomposition; Pixel; Programmable control;
fLanguage
English
Publisher
ieee
Conference_Titel
Pattern Recognition, 1992. Vol.I. Conference A: Computer Vision and Applications, Proceedings., 11th IAPR International Conference on
Conference_Location
The Hague
Print_ISBN
0-8186-2910-X
Type
conf
DOI
10.1109/ICPR.1992.201655
Filename
201655
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