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BayesBD (version 1.2)

Bayesian Inference for Image Boundaries

Description

Provides tools for carrying out a Bayesian analysis of image boundaries. Functions are provided for both binary (Bernoulli) and continuous (Gaussian) images. Examples, along with an interactive shiny function illustrate how to perform simulations, analyze custom data, and plot estimates and credible intervals.

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Version

Install

install.packages('BayesBD')

Monthly Downloads

22

Version

1.2

License

GPL (>= 3)

Maintainer

Nicholas Syring

Last Published

August 21st, 2017

Functions in BayesBD (1.2)

besselIs

Bessel Function
dsmError

Dice Similarity Coefficient of boundary estimate
fitBinImage

Data pre-processing and binary image analysis
fitContImage

Data pre-processing and continuous image analysis
BayesBD-package

Bayesian Inference for Image Boundaries
BayesBDbinary

Bayesian boundary estimation for binary images
BayesBDnormal

Bayesian boundary estimation for continuous intensity images
BayesBDshiny

Boundary detection and shiny integration
eigenfun

Generate the Fourier series
ellipse

Generate ellipse boundaries
par2obs

Simulate binary intensity images
parnormobs

Simulate Gaussian intensity images
tum2

Brain tumor .png file
unisliceL

Slice Sampler
triangle2

Generate triangle boundaries
tum1

Brain tumor .png file
plotBD

Visualization of posterior boundary estimates and data
rectToPolar

Simulate binary intensity images
hausdorffError

Hausdorff Error of boundary estimate
lebesgueError

Lebesgue Error of boundary estimate