Texture classification by local surface fitting
We present in this paper a new algorithm for texture classification based on local surface fitting of images. At the first step, surface fitting is defined in a predefined local neighborhood and is done at every pixel generating a number of coefficient data fields or texture feature images; Then, texture features are extracted from these feature images and used for texture classification. Initial experimental results show that the algorithm is simple, compact and flexible. It is also suitable for parallel implementation.
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