A short report describing my thesis work on medical imaging project. My image processing algorithm concentrates on techniques with binary images, due to the fact that many of these image processing algorithms operates best with binary images. I started off testing the effect of different threshold setting for converting the image to binary. I will refer to pixel values in this report.
Tissues have approximately the same density as water.
If I set the threshold too low, all the tissues in the image would turn out as white pixels. For example the picture on the left below is created with a threshold of 200. This result in the lung area not immediately obvious to a simple recognition program. Or if I set the threshold too high, eg 900 for the picture below on the left, we get a good lung region, however it also give us too much details about other regions of the body which we are not interested in. Below is the same image threshold at 600.