Gray-level co-occurrence matrix (GLCM) texture metrics extraction from Visium H&E image
get_visium_textures(visium, aggr.factor = 15, is.hd = F)a Visium Seurat object containing Kandinsky data (`KanData()`)
numeric argument indicating how many raster cells consider to average RGB intensity and lower raster resolution.
whether Seurat object contains data from standard Visium (FALSE) or Visium HD (TRUE) The higher the aggr.factor, the lower the final raster resolution.
Update Seurat object with a new 'texture' dataframe containing GLCM texture features for each spot stored in the Kandinsky data
Use the `GLCMTextures` package to extract and summarise GLCM texture features for each tissue spot in the Visium dataset. Since GLCM texture extraction works with single-layer rasters, the function will extract texture features separately for each R/G/B raster layer, plus a fourth created by calculating the cell-wise standard deviation across the three RGB layers. For more information about GLCM texture extraction, see https://github.com/ailich/GLCMTextures