Exact(27)
Locally adaptive thresholding: deriving a segmentation from identifying vertices in a component tree can be seen as a way of locally adaptive thresholding; rather than determining local thresholds in pre-computed regions of interest as in Kim and Park (2005) or windows of fixed size, every component represented in the component tree is eligible to define a local threshold.
Some of the other six may have local thresholds, but for the most part their global effects are simply the aggregate of the local ones.Confusing the two might, in the Breakthrough Institute's view, result in poor policy.
Afterwards, the obtained segmentation is improved by applying local thresholds.
By establishing different local thresholds, this addresses the variation of data density across the dataset.
These local thresholds are conveyed to the FC and the FC updates its global threshold accordingly.
Nevertheless, they can update the local thresholds as per the channel between the primary user and the CRs.
Similar(33)
Images with a clear contrast between regions can be segmented automatically, thanks to several thresholding algorithms, including an adaptive local thresholding algorithm aimed at images with contrast variations.
First, it allows us to approximate a local-thresholding procedure (see Section 2.2.3) without incurring in the computational cost of fully fledged local thresholding algorithms (Sahoo et al., 1988).
Here, we use local threshold instead.
Each block is considered using it's own local threshold.
However, local thresholding must be considered to improve robustness.
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