image - Computer Vision and Image Recognition algorithms for R users

This repository contains a suite of R packages which perform image algorithms currently not available in other R packages like magick, imager or EBImage.

These algorithms are put into different packages because of license differences. Currently the following R packages are available:

Package	Functionality	License	Details
image.CornerDetectionF9	FAST-9 corner detection for images	BSD-2	Details
image.CornerDetectionHarris	Harris corner detection for images	BSD-2	Details
image.LineSegmentDetector	Line Segment Detector (LSD) for images	AGPL-3	Details
image.ContourDetector	Unsupervised Smooth Contour Line Detection for images	AGPL-3	Details
image.CannyEdges	Canny Edge Detector for Images	GPL-3	Details
image.Otsu	Otsu's Image Segmentation Method	MIT	Details
image.dlib	Speeded up robust features (SURF) and histogram of oriented gradients (HOG) features	AGPL-3	Details
image.libfacedetection	CNN for Face Detection	BSD-3	Details
image.darknet	Image classification using darknet with deep learning models AlexNet, Darknet, VGG-16, Extraction (GoogleNet) and Darknet19. As well object detection using the state-of-the art YOLO detection system	MIT	Details
image.OpenPano	Image Stitching	see file LICENSE	Details
image.DenoiseNLMeans	Non-local means denoising	see file LICENSE	Details

More packages and extensions are under development.

A presentation given at the useR-2017 conference is available in file presentation-user2017.pdf

Installation

• Some packages are on CRAN

install.packages("image.CannyEdges")
install.packages("image.ContourDetector")
install.packages("image.CornerDetectionF9")
install.packages("image.CornerDetectionHarris")
install.packages("image.dlib")
install.packages("image.libfacedetection")
install.packages("image.LineSegmentDetector")
install.packages("image.Otsu")
install.packages("image.binarization")

• You can see if the binary packages for your operating system are on the BNOSAC drat repo at https://github.com/bnosac/drat
• If they are, you can just install them as follows, where you replace thepackagename with one of the packages you are interested in

install.packages("thepackagename", repos = "https://bnosac.github.io/drat")

Development packages

Install the development version of packages as follows:

install.packages("remotes")
remotes::install_github("bnosac/image", subdir = "image.CornerDetectionF9")
remotes::install_github("bnosac/image", subdir = "image.CornerDetectionHarris")
remotes::install_github("bnosac/image", subdir = "image.LineSegmentDetector")
remotes::install_github("bnosac/image", subdir = "image.ContourDetector")
remotes::install_github("bnosac/image", subdir = "image.CannyEdges")
remotes::install_github("bnosac/image", subdir = "image.Otsu")
remotes::install_github("bnosac/image", subdir = "image.dlib")
remotes::install_github("bnosac/image", subdir = "image.darknet")
remotes::install_github("bnosac/image", subdir = "image.DenoiseNLMeans")
remotes::install_github("bnosac/image", subdir = "image.libfacedetection")
remotes::install_github("bnosac/image", subdir = "image.OpenPano")

CI builds

• CI builds are here
  • Travis
  • AppVeyor

Support in image recognition

Need support in image recognition? Contact BNOSAC: http://www.bnosac.be