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A novel morphological edge detection based on adaptive weighted morphological operators is presented. It judges plane edge and direction by adaptive weighted morphological structuring elements (SE). If the edge direction exists, a big weight SE is put; if doesn't exist, a small weight SE is put. Thus we can achieve an intensified edge detector. Experimental results prove that the new operators' performance...
The fuzzy hit-or-miss transformation is a fuzzy morphological operator, which is a key for the feature extraction in the ambiguous information. In this paper, a neural network implementation for fuzzy morphological operators is proposed, and by means of a training method and differentiable equivalent representations for the operators, efficient adaptive algorithms to optimize structuring elements...
Based on rough sets and mathematical morphology theory, this paper proposes a method called membership-grade operator for binary image processing. Based on the same structural element, the operator achieves multiform dilations, erosions and edge extractions by proper choice of membership grade obtained by binary image. Applied to noise image, the operator can achieve the above processing and noise...
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