Structural texture segmentation using affine symmetry
Park, Heechan, Martin, Graham R. and Bhalerao, Abhir (2007) Structural texture segmentation using affine symmetry. In: IEEE International Conference on Image Processing (ICIP 2007), San Antonio, TX, SEP 16-19, 2007. Published in: 2007 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, VOLS 1-7 pp. 613-616.Full text not available from this repository.
Many natural textures comprise structural patterns and show strong self-similarity. We use affine symmetry to segment an image into self-similar regions; that is a patch of texture (blocks from a uniformly partitioned image) can be transformed to other similar patches by warping. If the texture image contains multiple regions, we then cluster patches into a number of classes such that the overall warping error is minimized. Discovering the optimal clusters is not trivial and known methods are computationally intensive due to the affine transformation. We demonstrate efficient segmentation of structural textures without affine computation. The algorithm uses Fourier Slice Analysis to obtain a spectral contour signature. Experimental evaluation on structural textures shows encouraging results and application on natural images demonstrates identification of texture objects.
|Item Type:||Conference Item (UNSPECIFIED)|
|Subjects:||T Technology > TR Photography|
|Series Name:||IEEE International Conference on Image Processing (ICIP)|
|Journal or Publication Title:||2007 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, VOLS 1-7|
|Number of Pages:||4|
|Page Range:||pp. 613-616|
|Title of Event:||IEEE International Conference on Image Processing (ICIP 2007)|
|Location of Event:||San Antonio, TX|
|Date(s) of Event:||SEP 16-19, 2007|
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