Sentence examples for elimination image from inspiring English sources

Next, iterative mapping and assembly for gap elimination (IMAGE) [ 31] was used to close sequencing gaps in scaffolds of at least 500 bp.

Iterative Mapping and Assembly for Gap Elimination (IMAGE) [ 35] improved genome assemblies by targeted re-assembly of Illumina reads to span gaps within scaffolds.

All the SLM- and some of the interferometer-based setups also offer the possibility of twin-image elimination; however this can usually be fulfilled only for static objects, as the method is based on phase-shifting interferometry and requires multiple exposures of the same object [23].

Prospective acquisition also enables MRI to overcome the two main challenges that limit the utility of 4DCT images, namely, the ability to capture cycle-to-cycle variations and elimination of binning-related image artifacts.

Thus, these terms need to be eliminated because their elimination results in an enhancement of image quality.

Unfortunately for Facebook's public image, the elimination of the toggleable, persistent location sharing feature comes just two weeks too late.

Accelerated feature extracting and matching, dilution of precision analysis-based vision beacon selection strategy, and MIMU-aided image smearing elimination are analyzed.

In order to generate the elimination of vessels, the binary image can be subtracted from the Gaussian filtered image so that the final image has vessel-free candidates.

It is composed of a single-stage power-of-two conversion mechanism based on 234 Scheduling of 3-2 and 2-1 Eliminandons, and a final image gathering mechanism based on Data Padding and MPI Rank Reordering for enabling the use of MPI_Gather collective operation.

14 Some developed tools are used effectively for online monitoring, some for measurements of density of microorganism in water, and other tools were developed to assist in recognition process, such as enhancing images, noise elimination, and edge-extracted segmentation.

Since the output error is an estimation of the original image with background elimination, the original image should be normalized in order to have a normalized error.