  Asymmetry analysis based on the overlapping of thermal images proved able to
detect inflammation and, predict foot ulceration. This technique involves three
main steps: segmentation, geometric transformation, and overlapping. However,
the overlapping technique, which consists of subtracting the intensity levels
of the right foot from those of the left foot, can also detect false abnormal
areas if the projections of the left and right feet are not the same. In this
paper, we present an alternative technique to asymmetry analysis-based
overlapping. The proposed technique, scalable scanning, allows for an effective
comparison even if the shapes and sizes of the feet projections appear
differently in the image. The tested results show that asymmetry analysis-
based scalable scanning provides fewer false abnormal areas than does asymmetry
analysis -based overlapping.
