Accumulation Types for Output Variables

The following table contains the accumulation types of the available output variables for classified images:

Output Variable	Accumulation Type
Count	Sum
Arean	Sum
Eccentricity	Mean
Form Factor	Mean
Convexityy	Mean
Solidityy	Mean
Ellipticalness	Mean
Perimeter	Sum
Lesser Diameter	Sum
Major Axis Length	Sum
Minor Axis Length	Sum
Orientation	Mean
Connectivity	Inherently works on multiple objects*
Interface Lenght	Sum
Object Distance	Mean
Left	Minimum
Right	Maximum
Top	Maximum
Bottom	Minimum
Center X	Mean
Center Y	Mean
Region of Interest (ROI)	Union* *

*Requires multiple objects to calculate the connectivity. Therefore, you can calculate connectivity for entire image/ROI using Single value or nfor multiple ROIs, each including multiple objects, using Per object defined as

**If Single value is selected it calculates the boundary of the outlining box (mm), which includes all the relevant objects. If Per object is selected, it calculates the position of each object and outputs the boundary of the outlining box (mm) of each object.