Become an expert in R — Interactive courses, Cheat Sheets, certificates and more!
Get Started for Free

convolution

convolution

Description

convolution

Usage

convolution(image, kernel, mode = "same")

Arguments

image

either a matrix, data frame or array
kernel

a kernel in form of a matrix
mode

the convolution mode (one of 'same', 'full')

Details

This function performs convolution using a kernel matrix. When mode 'same' the output object has the same dimensions with the input, whereas when mode 'full' the rows and columns of the output object equals : ROWS = nrow(image) + nrow(kernel) - 1 and COLUMNS = ncol(image) + ncol(kernel) - 1

Value

either a matrix or an array, depending on the input data

Author(s)

Lampros Mouselimis

Examples

# kernel
x = matrix(1, nrow = 4, ncol = 4) / 16   # uniform


# matrix
image_matrix = matrix(runif(100), 10, 10)

res = convolution(image_matrix, x, "same")


# array
image_array = array(runif(100), dim = c(10, 10, 3))

res = convolution(image_array, x, "same")
OpenImageR

An Image Processing Toolkit

v1.1.8
GPL-3
Authors
Lampros Mouselimis [aut, cre] (<https://orcid.org/0000-0002-8024-1546>), Sight Machine [cph] (findHOGFeatures function of the SimpleCV computer vision platform), Johannes Buchner [cph] (average_hash, dhash and phash functions of the ImageHash python library), Mohammad Haghighat [cph] (Gabor Feature Extraction), Radhakrishna Achanta [cph] (Author of the C++ code of the SLIC and SLICO algorithms (for commercial use please contact the author))
Initial release
2021-05-04

We don't support your browser anymore

Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.