A problem often encountered with multiresolution segmentation algorithms is that small or thin features of an object become lost. This is particularly evident in linked-pyramid structures and a method is required to restore these features. This paper shows that simple adaptive isotropic and non-isotropic filtering based on the inter-region signal-to-noise ratio can be used to iteratively re-establish the lost features. It is also shown that boundary placement is also improved and a balance between class certainty and boundary placement is achieved. A number of results are presented for synthetic and real images.
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