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An orientation and resolution independent texture classifier in segmentation of images of unknown rotation and scale

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2 Author(s)
You, J. ; Dept. of Comput. Sci. & Comput. Eng., La Trobe Univ., Bundoora, Vic., Australia ; Cohen, H.A.

Describes an orientation and resolution insensitive texture classifier for demarcating regions of common texture within a rotated and/or scaled image. The algorithm involves a mask `tuning' process performed over equal size pure texture samples in the multi-orientation and multi-scale data set via a two-dimensional linked-list. The development of a guided random search approach for parameter optimization is detailed and the segmentation results of collages of Brodatz textures are provided

Published in:

Pattern Recognition, 1992. Vol.III. Conference C: Image, Speech and Signal Analysis, Proceedings., 11th IAPR International Conference on

Date of Conference:

30 Aug-3 Sep 1992