region_props: Measure properties of different regions in a labelled image.

In keithschulze/supr: Analysis of single molecule localisation data from super-resolution microscopy

Measure properties of different regions in a labelled image.

Description

Given a labelled image (e.g., result of connected), extract properties of different regions.

Usage

region_props(label_im, intensity_im = NULL, points = NULL)

Arguments

label_im	im Label input image for whcih properties are extracted for each label.
intensity_im	im Intensity image with same dimensions as label image.
points	ppp Point pattern with a window matching the dimensions of the input label image.

Value

list List of region properties. The following properties can be accessed as methods for each region.

• area: Numeric Numeric value representing the area of the region.

• bbox: owin Rectangular window representing the smallest rectangle that encloses the region.

• centroid: list List containing x and y coordinates of the region.

• diameter: Numeric Numeric value representing the size of the largest line that can be drawn across the region.

• perimeter: Numeric Numeric value representing the perimeter around the region.

Note: the values are only computed when the method is called for a specific region i.e., they are lazy. This means you can filter on a specific property without needing to compute all properties.

See Also

connected im

keithschulze/supr documentation built on Nov. 26, 2022, 7:09 a.m.