OpenImageR package - RDocumentation

Learn R Programming

⚠️There's a newer version (1.3.0) of this package.Take me there.

OpenImageR

The OpenImageR package is an image processing library. It includes functions for image preprocessing, filtering and image recognition. More details on the functionality of OpenImageR can be found in the package Vignette.

To install the package from CRAN use,


install.packages("OpenImageR")

and to download the latest version from Github use the install_github function of the devtools package,


devtools::install_github('mlampros/OpenImageR')

Use the following link to report bugs/issues,

https://github.com/mlampros/OpenImageR/issues

Copy Link

Version

Install

install.packages('OpenImageR')

Monthly Downloads

2,328

Version

1.0.8

License

GPL-3

Issues

Pull Requests

Stars

Forks

Repository

https://github.com/mlampros/OpenImageR

Maintainer

Lampros Mouselimis

Last Published

January 16th, 2018

Functions in OpenImageR (1.0.8)

calculate the HOG (Histogram of oriented gradients) for a matrix, array or a folder of images

convert a list of matrices to an array of matrices

image augmentations of a matrix, data frame, array or a list of 3-dimensional arrays

calculate the HOG (Histogram of oriented gradients) for an image

gamma_correction

Gamma correction

gaussian_kernel

gaussian-kernel

laplacian_kernels

laplacian kernels

norm_range_gauss

normalize in specific range of values

crop_image_secondary

crop an image in R [ for RGB or grey images ]

delationErosion

Delation or Erosion of an image

calculation of the 'phash' of an image

this function reads various types of images

image translation

uniform filter (convolution with uniform kernel)

zca whiten of an image

calculation of the 'average hash' of an image

calculation of the 'dhash' of an image

down_sample_image

downsampling an image ( by a factor ) using gaussian blur

func_chech_range

function to check the range of values of an image or normalize an image

secondary function for HOG_apply

resize an image using the 'nearest neighbors' or the 'bilinear' method

convert an RGB image to Gray

Rotate an image by 90, 180, 270 degrees

Rotate an image using the 'nearest' or 'bilinear' method

image_thresholding

image thresholding

invariant hashing (caclulation of the hamming or the levenshtein distance when the image is flipped, rotated or cropped)

if-else function for hashing

switch_invariant

secondary function for invariant_hash

calculate the binary or the hexadecimal hash for a matrix, array or a folder of images for the average_hash, phash or dhash functions

display an image

launcher for the shiny application

secondary function for downsampling

sec_resiz_array

secondary function for 'resizeImage' [ array ]

secondary function for edge_detection function

minimum and maximum values of vector, matrix, data frame or array

NormalizeObject

normalize a vector, matrix or array (in the range between 0 and 1)

edge detection (Frei_chen, LoG, Prewitt, Roberts_cross, Scharr, Sobel)

flip image horizontally or vertically

This function writes 2- or 3-dimensional image data to a file