Estimate Automated ImageRegistration With SIFT — estimateAutomatedImageRegistrationWithSIFT • Giotto

Automatically estimate a transform with SIFT feature detection, descriptor match and returns a transformation object to use

estimateAutomatedImageRegistrationWithSIFT(
  x,
  y,
  plot_match = FALSE,
  max_ratio = 0.6,
  estimate_fun = "affine",
  save_warp = NULL,
  verbose = TRUE
)

Arguments

x: required. Source matrix input, could be generated from preprocessImageToMatrix
y: required. Source matrix input, could be generated from preprocessImageToMatrix
plot_match: whether or not to plot the matching descriptors. Default False
max_ratio: max_ratio parameter for matching descriptors, default 0.6
estimate_fun: default Affine. The transformation model to use estimation
save_warp: default NULL, if not NULL, please provide an output image path to save the warpped image.

Value

a list of the estimated transformation object

Examples

estimation <- estimateAutomatedImageRegistrationWithSIFT(
    x = image_mtx1, y = image_mtx2
)
#> Error: package 'skimage' is not yet installed
#> 
#>  To install:
#> ## active python env: '/usr/bin/python3' 
#> ## python version: 3.10
#> ## restart session then use GiottoClass::set_giotto_python_path() if this is incorrect
#> reticulate::conda_install(envname = '/usr/bin/python3', packages = c('scikit-image'), pip = TRUE)