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
fDate :
30 Aug-3 Sep 1992
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;
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
DOI :
10.1109/ICPR.1992.201655