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Adequately hierarchical patterns based on pairwise regions
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DOI：10.1007/s00530-023-01217-4.png)
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We propose a novel operator, called CHILOP, for capturing the hierarchical relationships of two adjacent supporting regions in a completed local encoding context. It can be seen as a generalization of typical CLBP, one of the most popular local operators. CHILOP is then considered in a multi-scale approach to forcefully capture multi-hierarchical patterns with more robustness. Moreover, multi-hierarchical Gaussian-filtered CHILOP properties are taken into account for a more discriminative descriptor inspired by filter-bank approaches. A comprehensive evaluation on different benchmark datasets has proven the benefit of our proposed method.
Keyword:
Dynamic textures
Hierarchy of local features
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