Your English writing platform
Discover LudwigExact(5)
An algorithm for one-dimensional stack filter is presented in this paper, along with its hardware structure.
The new one-dimensional structure proposed in this paper has been extended to a separable two-dimensional stack filter.
This work considers stack filter design from training data under a general statistical framework developed in the context of morphological image operator design.
Our simulation results show that using a small Stack Filter (SF) of just a few registers, 10 25% data cache power savings can be achieved on average, with a negligible performance penalty.
Kalman filtering, as implemented by the Kalman Stack Filter plugin to ImageJ by Chris Mauer, was applied to the stacks before image analysis http://rsb.info.nih.gov/ij/plugins/kalman.html.html
Similar(55)
The chapter discusses adaptive optimization algorithms for the design of stack filters and stack smoothers.
The optimization of stack filters is realized by solving this knapsack problem with genetic algorithm (GA).
Optimal stack filters are designed to process the images corrupted by impulsive noise in this paper.
Stack filters are a class of non-linear filters for suppressing the noise that is uncorrelated with the signal.
The proposed angular optimization algorithms take advantage of adaptive stack filters design and weighted median filtering framework.
The chapter discusses nonrecursive and recursive weighted median filters admitting real-valued weights as subclasses of stack filters.
More suggestions(3)
Write better and faster with AI suggestions while staying true to your unique style.
Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com