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Morphological filters are based on the mathematical morphology based on set theory.
Eight types of multi-scale morphological filters are designed based on the mathematical morphology theory.
Morphological filters are non-linear signal transformations that locally modify geometric signal features.
Morphological filters are stacked at higher delay with QV set at near 20.
In this paper, transmission characteristics of morphological filters are presented first for theoretical surfaces.
Morphological bandpass pyramid is generated using the Laplacian type pyramid decomposition scheme [21], but instead of linear filters, morphological filters are used.
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After homographic filtering to remove illumination variation, Gaussian and morphological filters were applied to reduce noise.
Morphological filters were also used for the feature extraction of the EEG signals.
In [32], the total variation based image restoration and morphological filtering are applied to the hazy image, which can prevent producing unnecessary texture details from the estimated transmission map.
Combining (1), (14), and (18), the parameters updating algorithm for one dimensional adaptive rank order morphological filter are given as (19), where itN denotes the current iteration and itN + 1 for the next.
Morphological filtering is used in [16].
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