Non-stationary texture segmentation using an AM-FM model
Date
1997Author

Christodoulou, Christodoulos I.

Bovik, Alan Conrad
ISBN
0-7803-4122-8978-0-7803-4122-7
Source
IEEE International Conference on Neural Networks - Conference Proceedings1997 IEEE International Conference on Neural Networks, ICNN 1997
Volume
3Pages
1552-1557Google Scholar check
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We present a novel method for segmenting non-stationary textures. Our approach uses a multidimensional AM-FM representation for the texture, and provides the FM features to an SOFM-LVQ neural network system that performs the segmentation. For the segmentation, we use the eigenvalues of the instantaneous frequency gradient tensor and show how these eigenvalues capture the non-stationary structure of a texture. For a woodgrain image, the segmentation results are shown to capture the essential non-stationary nature of the grain. © 1997 IEEE.
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