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https://github.com/rorynolan/autothresholdr

An R port of the "Auto Threshold" plugin for ImageJ for thresholding images.
https://github.com/rorynolan/autothresholdr

Last synced: 3 months ago
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An R port of the "Auto Threshold" plugin for ImageJ for thresholding images.

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README

        

---
output: github_document
---

```{r setup, include=FALSE}
knitr::opts_chunk$set(echo = TRUE, comment = "#>")
```

# autothresholdr

Algorithms for automatically finding appropriate thresholds for numerical data, with special functions for thresholding images.

[![R-CMD-check](https://github.com/rorynolan/autothresholdr/workflows/R-CMD-check/badge.svg)](https://github.com/rorynolan/autothresholdr/actions)

[![CRAN_Status_Badge](http://www.r-pkg.org/badges/version/autothresholdr)](https://cran.r-project.org/package=autothresholdr)
![RStudio CRAN total downloads](http://cranlogs.r-pkg.org/badges/grand-total/autothresholdr)
[![RStudio CRAN monthly downloads](http://cranlogs.r-pkg.org/badges/autothresholdr)](https://cran.r-project.org/package=autothresholdr)
[![DOI](https://zenodo.org/badge/72632397.svg)](https://zenodo.org/badge/latestdoi/72632397)

[![Project Status: Active – The project has reached a stable, usable state and is being actively developed.](http://www.repostatus.org/badges/latest/active.svg)](https://www.repostatus.org/)
[![lifecycle](https://img.shields.io/badge/lifecycle-stable-brightgreen.svg)](https://lifecycle.r-lib.org/articles/stages.html)

## Installation

You can install the release version of `autothresholdr` from [CRAN](https://CRAN.R-project.org) with:

```{r, eval=FALSE}
install.packages("autothresholdr")
```

You can install the development version of `autothresholdr` from [GitHub](https://github.com/rorynolan/autothresholdr/) with:

```{r, eval=FALSE}
devtools::install_github("rorynolan/autothresholdr")
```

## How to use `autothresholdr`

To learn how to use the `autothresholdr`, consult the package website at https://rorynolan.github.io/autothresholdr/.

## Contribution

Contributions to this package are welcome. The preferred method of contribution is through a github pull request. Feel free to contact me by creating an issue. Please note that this project is released with a [Contributor Code of Conduct](CONDUCT.md). By participating in this project you agree to abide by its terms.