@@ -126,11 +126,10 @@ Our final implementation differs from these methods, and others, in ways that we
\caption{\label{fig:pixels}The other 4 pixels are used to find the value of the 5th.}
\end{figure}
\subsection{Background}
The images that were used in the development of this paper were all thermal images, with values ranging from 19,197 to 25,935.
In the system, total possible values can range from 0 to 32,768.
Most images had ranges of at most 4,096 between the smallest and the largest pixel values.
The images that were used in the development of this paper were all thermal images, with the values in this specific dataset the ranging from 19,197 to 25,935.
Total possible values with these sensors can range from 0 to 32,768.
Most images had ranges of about 4,096 between the smallest and the largest pixel values.
The camera being used has 16 forward-facing thermal sensors creating 16 similar thermal images every frame.
Everything detailed here can still apply to standard grayscale or RGB images, but only 16-bit thermal images were used in testing.
Thermal images are unique in that pixel values will not depend on lighting but solely on the temperature values of the objects they represent.
Direct lighting can change these values due to the heat exchange, but the general case is that due to heat conduction, objects will have near uniform temperature across the surface.
