Calculates all scalar descriptors of shape

See examples for the full list.

Usage

coo_scalars(coo, rectilinearity = FALSE)

Arguments

coo

a matrix of (x; y) coordinates or any Coo

rectilinearity

logical whether to include rectilinearity using coo_rectilinearity

Value

data_frame

Details

coo_rectilinearity being not particularly optimized, it takes around 30 times more time to include it than to calculate all others and is thus not includedby default. by default.

See also

Other coo_ descriptors: coo_angle_edges(), coo_angle_tangent(), coo_area(), coo_boundingbox(), coo_chull(), coo_circularity(), coo_convexity(), coo_eccentricity, coo_elongation(), coo_length(), coo_lw(), coo_rectangularity(), coo_rectilinearity(), coo_solidity(), coo_tac(), coo_width()

Examples

df <- bot %>% coo_scalars() # pass bot %>% coo_scalars(TRUE) if you want rectilinearity
colnames(df) %>% cat(sep="\n") # all scalars used
#> area
#> calliper
#> centsize
#> circularity
#> circularityharalick
#> circularitynorm
#> convexity
#> eccentricityboundingbox
#> eccentricityeigen
#> elongation
#> length
#> perim
#> rectangularity
#> solidity
#> width

# a PCA on all these descriptors
TraCoe(coo_scalars(bot), fac=bot$fac) %>% PCA %>% plot_PCA(~type)