convolution

convolution

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")