eigenfun

The number of eigenfunctions used to approximate the boundary. It should be a odd number.

The argument at which the eigenfunctions are evaluated.

eigenfun(n, x) generates the first n fourier series, which are \(\{1/\sqrt{2*\pi}, 1/\sqrt{\pi}*cos(x), 1/\sqrt{\pi}*cos(x), ...\}\) evaluated at x.

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.

Nicholas Syring

eigenfun: Generate the Fourier series

Description

Usage

Arguments