Preprocess from image directory to the required matrix format for Image registration pipeline built on scikit-image

Source: R/image_registration.R

Preprocess a image path to the required matrix format for Image registration pipeline built on scikit-image

preprocessImageToMatrix(
  x,
  invert = F,
  equalize_histogram = T,
  flip_vertical = F,
  flip_horizontal = F,
  rotate_90 = F,
  use_single_channel = F,
  single_channel_number = NULL,
  pkg_ptr
)

Arguments

x

input file path, required

invert

whether or not to invert intensity to make calculation of descriptors more accurate, default FALSE

equalize_histogram

whether or not to calculate equalized histogram of the image,default TRUE

flip_vertical

whether or not to flip vertical, default FALSE

flip_horizontal

whether or not to flip horizontal, default FALSE

rotate_90

whether or not to rotates the image 90 degrees counter-clockwise, default FALSE

use_single_channel

If input is a multichannel image, whether or not to extract single channel, default FALSE

single_channel_number

Channel number in the multichannel image, required if use_single_channel = TRUE

Value

a matrix array to input to .sift_detect