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')
Value
either a matrix or an array, depending on the input data
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
Author
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(300), dim = c(10, 10, 3))
res = convolution(image_array, x, "same")