Mobile Application for Ulcer Detection
shown in Fig. (6), where two thresholds were
used to extract the feet from the background
and to obtain the suspected hot region from
the plantar feet. The application provides
the results to the user as images including
the hot, hottest, and the hot minus hottest
segments. Moreover, within the application,
mean temperature values for both feet,
including the hot minus hottest region and
the suspected hottest region segments, are
represented to the user. Moreover, this helps
in removing the background and acquiring a
binary image, which represents only the feet
segment. The result combines a BGR image of
the foot without the background with the ulcer
region that has been highlighted in red. The
red indicates the critical region of the foot. If
ulcer is not present, the result will be the BGR
foot without the background and without the
highlighted red region.
Figure 5: Greyscale Image
Figure 6: Feet (Left), Hottest Region (Center),
Foot - Hottest Region (Right)
The application was implemented using two
threads: one main thread that provides the
user interface as shown in Fig. (2), and a
background thread that includes the main
functionality of the system. This latter thread
is illustrated in Fig. (3). The background
thread includes the image processing part
Figure 7: Result (Ulcer Detected)
Current Pedorthics | January/February 2020
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