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Deng LZ, Zhu H, Wei YT, Lu GM, Wei Y. Small target detection using quantum genetic morphological filter.
A comparison between the improved morphological filter, traditional morphological filter and wavelet analysis with Mexican hat function is presented, which indicates that the improved morphological filter is superior in restraining background activities.
Morphological filter was employed as the segmented image contained noises would affect the system performance.
We have designed a morphological filter in order to calculate the centroid spots of Hartmann patterns.
The Simple Morphological Filter (SMRF) addresses this problem by applying image processing techniques to the data.
In order to extract impulse components from vibration signals with much noise and harmonics, a new morphological filter called average combination difference morphological filter (ACDIF) is proposed in this paper.
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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.
However, conventional morphological filters have certain drawbacks.
In this paper, transmission characteristics of morphological filters are presented first for theoretical surfaces.
After the repeated morphological filtering is implemented, a series of outputs are achieved.
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