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

Usage

edge_detection(
  image,
  method = NULL,
  conv_mode = "same",
  approx = F,
  gaussian_dims = 5,
  sigma = 1,
  range_gauss = 2,
  laplacian_type = 1
)

Arguments

image: matrix or 3-dimensional array and the third dimension must be equal to 3
method: the method should be one of 'Frei_chen', 'LoG' (Laplacian of Gaussian), 'Prewitt', 'Roberts_cross', 'Scharr', 'Sobel'
conv_mode: the convolution mode should be one of 'same', 'full'
approx: if TRUE, approximate calculation of gradient (applies to all filters except for 'LoG')
gaussian_dims: integer specifying the horizontal and vertical dimensions of the gaussian filter
sigma: float parameter sigma for the gaussian filter
range_gauss: float number specifying the range of values for the gaussian filter
laplacian_type: integer value specifying the type for the laplacian kernel (one of 1, 2, 3, 4)

Value

depending on the input, either a matrix or an array

Details

This function takes either a matrix or a 3-dimensional array (where the third dimension is equal to 3) and it performs edge detection using one of the following filters : 'Frei_chen', 'LoG' (Laplacian of Gaussian), 'Prewitt', 'Roberts_cross', 'Scharr', 'Sobel'

Author

Lampros Mouselimis

Examples


path = system.file("tmp_images", "1.png", package = "OpenImageR")

image = readImage(path)

res = edge_detection(image, method = 'Frei_chen', conv_mode = 'same')