aopicroi
The aopicroi function returns mean values of the region of interest (ROI) in the field of view defined with a binary mask in an \alpha-opic image data from the \alpha\Omega-meter. The averaging of the radiance values requires the solid angle information per pixel, provided with an omega angle file.
Usage:
[aopicroi,sc,mc,lc,rh,mel,VL] = aopicroi(aoim,mask,omega)
Where:
| Parameter | Description |
aopicroi | Is a vector containing the \alpha-opic spatial integral values of the region of interest. |
sc,mc,lc,rh,mel,VL | Represent the \alpha-opic channels sc, mc, lc, rh, mel and V(\lambda). |
aoim | Represents the \alpha\Omega-meter image data. |
mask | Is a binary image mask specifying the region of interest. |
omega | Is an image matrix specifying the pixel’s solid angles. |
Example
Evaluate the spatial integral values from the left eye field of view:
% read ao-meter image data
aoim = readaopic('image.aop');
% load default ao-meter angles
load('aometerangles.mat');
% create left eye field of view mask
mask = fieldofview(theta,rho,'left');
% evaluete spatial integral aopic values
aopic = aopicroi(aoim,mask,omega,rho)
See also: readaopic, fieldofview
Result
aopicroi = 1.0e+05 * 0.0013 0.0033 0.0039 0.0032 0.0024 2.3744
Note: the \alpha\Omega-meter example data is not calibrated.
Reference:
Frederic Rudawski, Development of a wearable, low-cost, spatially and α-opic resolving light dosimeter, Dissertation, Technische Universität Berlin, In: DepositOnce, 2024, DOI: 10.14279/depositonce-22010.