# imlabelMean

Below is a demonstration of the features of the `imlabelMean` function

## Contents

```
clear; close all; clc;
```

## Syntax

`[Q_mean]=imlabelMean(M,ML);`

## Description

This function takes the mean for each of the labeled groups (NaN's ignored) in ML according to the intensities in M.

## Examples

Create example labelled image

% Defining a multi boundary set r=2; %Sphere radius rc=3; %Central radius nr=15; nc=25; ptype='quad'; [F1,V1]=patchTorus(r,nr,rc,nc,ptype); [F2,V2]=quadSphere(2,r,2); V2(:,2)=V2(:,2)-5; [F3,V3]=quadSphere(2,r/2,2); V3(:,2)=V3(:,2)-5; [F4,V4]=quadSphere(3,r/2,2); V4(:,1)=V4(:,1)+2; V4(:,2)=V4(:,2)+2; [F,V,C]=joinElementSets({F1,F2,F3,F4},{V1,V2,V3,V4}); %Convert to label image [~,~,ML]=patch2Im(F,V,[],0.1*ones(size(F,1),1)); %Create image to compute stats for these labelled regions M=nan(size(ML)); c=0; for q=min(ML(~isnan(ML))):1:max(ML(~isnan(ML))) if nnz(ML==q)>0 c=c+1; end M(ML==q)=c+q/10; %Force data to be <group number>.<label> end

Compute the mean for each region

[Q_mean,labelSet]=imlabelMean(M,ML)

Q_mean = 1.0000 2.2000 3.3000 4.4000 5.5000 6.6000 7.7000 labelSet = 0 2 3 4 5 6 7

* GIBBON* www.gibboncode.org

*Kevin Mattheus Moerman*, [email protected]

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License: https://github.com/gibbonCode/GIBBON/blob/master/LICENSE

GIBBON: The Geometry and Image-based Bioengineering add-On. A toolbox for image segmentation, image-based modeling, meshing, and finite element analysis.

Copyright (C) 2006-2023 Kevin Mattheus Moerman and the GIBBON contributors

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