estimateImageBg

helps to estimate which color is the background color of your plot

Usage

estimateImageBg(mg_object, top_color_range = seq_len(50))

Arguments

mg_object

magick image or Giotto image object

top_color_range

top possible background colors to return

Value

vector of pixel color frequencies and an associated barplot

Examples

g <- GiottoData::loadGiottoMini("visium")
#> 1. read Giotto object
#> 2. read Giotto feature information
#> 3. read Giotto spatial information
#> 3.1 read Giotto spatial shape information
#> 3.2 read Giotto spatial centroid information
#> 3.3 read Giotto spatial overlap information
#> 4. read Giotto image information
#> python already initialized in this session
#>  active environment : 'giotto_env'
#>  python version : 3.10
#> checking default envname 'giotto_env'
#> a system default python environment was found
#> Using python path:
#>  "/usr/share/miniconda/envs/giotto_env/bin/python"
g_image <- getGiottoImage(g, name = "image")
mgimg <- as(g_image, "giottoImage")

estimateImageBg(mgimg)

#> Most abundant pixel colors:
#> 276 261 159 155 132 103 100 79 73 69 67 66 64 55 48 43 43 43 43 39 39 39 36 36
#>  36 35 35 34 34 33 33 33 33 32 32 31 31 31 31 31 31 30 30 30 30 30 30 30 30 30