R-universe search: ssim

Showing 8 of total 8 results (show query)

sthonnard

ssimparser:Standard Schedules Information Parser

Parse Standard Schedules Information file (types 2 and 3) into a Data Frame. Can also expand schedules into flights.

Maintained by Sebastien Thonnard. Last updated 3 years ago.

iata schedules ssim

11.0 match 10 stars 3.70 score 1 scripts

piplus2

SPUTNIK:Spatially Automatic Denoising for Imaging Mass Spectrometry Toolkit

Set of tools for peak filtering of mass spectrometry imaging data based on spatial distribution of signal. Given a region-of-interest, representing the spatial region where the informative signal is expected to be localized, a series of filters determine which peak signals are characterized by an implausible spatial distribution. The filters reduce the dataset dimension and increase its information vs noise ratio, improving the quality of the unsupervised analysis results, reducing data dimension and simplifying the chemical interpretation. The methods are described in Inglese P. et al (2019) <doi:10.1093/bioinformatics/bty622>.

Maintained by Paolo Inglese. Last updated 11 months ago.

bioinformatics desi-msi image-processing maldi-msi maldi-tof-ms mass-spectrometry mass-spectrometry-imaging

5.2 match 4 stars 5.24 score 43 scripts

hailyee-ha

SSIMmap:The structural similarity index measure (SSIM) for maps

The SSIMmap package extend 'the classical SSIM method <https://doi.org/10.1109/TIP.2003.819861> for irregular lattice-based maps and raster images. The SSIMmap package applies this method to two types of maps (polygon and raster). The geographical SSIM method incorporates well-developed 'geographically weighted summary statistics' <https://doi.org/10.1016/S0198-9715(01)00009-6> with an adaptive bandwidth kernel function for irregular lattice-based maps.

Maintained by Hui Jeong (Hailyee) Ha. Last updated 2 years ago.

9.1 match 1 stars 2.70 score 10 scripts

faosorios

SpatialPack:Tools for Assessment the Association Between Two Spatial Processes

Tools to assess the association between two spatial processes. Currently, several methodologies are implemented: A modified t-test to perform hypothesis testing about the independence between the processes, a suitable nonparametric correlation coefficient, the codispersion coefficient, and an F test for assessing the multiple correlation between one spatial process and several others. Functions for image processing and computing the spatial association between images are also provided. Functions contained in the package are intended to accompany Vallejos, R., Osorio, F., Bevilacqua, M. (2020). Spatial Relationships Between Two Georeferenced Variables: With Applications in R. Springer, Cham <doi:10.1007/978-3-030-56681-4>.

Maintained by Felipe Osorio. Last updated 6 months ago.

fortran

3.3 match 1 stars 3.34 score 73 scripts 1 dependents

cran

prWarp:Warping Landmark Configurations

Compute bending energies, principal warps, partial warp scores, and the non-affine component of shape variation for 2D landmark configurations, as well as Mardia-Dryden distributions and self-similar distributions of landmarks, as described in Mitteroecker et al. (2020) <doi:10.1093/sysbio/syaa007>. Working examples to decompose shape variation into small-scale and large-scale components, and to decompose the total shape variation into outline and residual shape components are provided. Two landmark datasets are provided, that quantify skull morphology in humans and papionin primates, respectively from Mitteroecker et al. (2020) <doi:10.5061/dryad.j6q573n8s> and Grunstra et al. (2020) <doi:10.5061/dryad.zkh189373>.

Maintained by Anne Le Maitre. Last updated 12 months ago.

2.3 match 2.30 score

mclements

microsimulation:Discrete Event Simulation in R and C++, with Tools for Cost-Effectiveness Analysis

Discrete event simulation using both R and C++ (Karlsson et al 2016; <doi:10.1109/eScience.2016.7870915>). The C++ code is adapted from the SSIM library <https://www.inf.usi.ch/carzaniga/ssim/>, allowing for event-oriented simulation. The code includes a SummaryReport class for reporting events and costs by age and other covariates. The C++ code is available as a static library for linking to other packages. A priority queue implementation is given in C++ together with an S3 closure and a reference class implementation. Finally, some tools are provided for cost-effectiveness analysis.

Maintained by Mark Clements. Last updated 7 months ago.

cpp discrete-event-simulation health-economics openblas cpp

0.8 match 38 stars 4.36 score 20 scripts

gzt

catsim:Binary and Categorical Image Similarity Index

Computes a structural similarity metric (after the style of MS-SSIM for images) for binary and categorical 2D and 3D images. Can be based on accuracy (simple matching), Cohen's kappa, Rand index, adjusted Rand index, Jaccard index, Dice index, normalized mutual information, or adjusted mutual information. In addition, has fast computation of Cohen's kappa, the Rand indices, and the two mutual informations. Implements the methods of Thompson and Maitra (2020) <doi:10.48550/arXiv.2004.09073>.

Maintained by Geoffrey Thompson. Last updated 6 months ago.

binary-data binary-image-classification binary-image-processing categorical-data categorical-images classification image-processing cpp

0.5 match 5 stars 4.40 score 5 scripts

liuyadong

GCSM:Implements Generic Composite Similarity Measure

Provides implementation of the generic composite similarity measure (GCSM) described in Liu et al. (2020) <doi:10.1016/j.ecoinf.2020.101169>. The implementation is in C++ and uses 'RcppArmadillo'. Additionally, implementations of the structural similarity (SSIM) and the composite similarity measure based on means, standard deviations, and correlation coefficient (CMSC), are included.

Maintained by Yadong Liu. Last updated 4 years ago.

openblas cpp openmp

0.5 match 2.70 score 3 scripts