Optimal restoration using the morphological hit-or-miss transform
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The hit-or-miss operator is used as the building block of optimal morphological restoration filters. Using the conditional expectation in a binary setting, filter design methodologies are given for general, maximum, and minimum noise environments, the latter two producing optimal thinning and thickening filters, respectively. Unions of hit-or-miss transforms are expressed as canonical logical sums of products. The final hit-or-miss templates are obtained by logic reduction.
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Image Algebra and Morphological Image Processing III