OpenImageR package - RDocumentation

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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,

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

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Version

Install

install.packages('OpenImageR')

Monthly Downloads

2,011

Version

1.0

License

GPL-3

Maintainer

Lampros Mouselimis

Last Published

July 7th, 2016

Functions in OpenImageR (1.0)

down_sample_image

downsampling an image ( by a factor ) using gaussian blur

calculation of the 'average hash' of an image

flip image horizontally or vertically

delationErosion

Delation or Erosion of an image

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

calculation of the 'dhash' of an image

crop_image_secondary

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

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

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

image_thresholding

image thresholding

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

display an image

secondary function for HOG_apply

func_chech_range

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

gamma_correction

Gamma correction

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

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

gaussian_kernel

gaussian-kernel

laplacian_kernels

laplacian kernels

this function reads various types of images

calculation of the 'phash' of an image

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

norm_range_gauss

normalize in specific range of values

Rotate an image by 90, 180, 270 degrees

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)

convert a list of matrices to an array of matrices

convert an RGB image to Gray

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

image translation

switch_invariant

secondary function for invariant_hash

sec_resiz_array

secondary function for 'resizeImage' [ array ]

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

uniform filter (convolution with uniform kernel)

secondary function for edge_detection function

secondary function for downsampling

launcher for the shiny application

if-else function for hashing

zca whiten of an image