Mobile Application for Ulcer Detection
Figure 1: Flow chart of the overall system.
START
Calculate Foot -
Suspected Mean
Temperature (FS)
IMAGE
ACQUISITION
Calculate -
Suspected Mean
Temperature (S)
—
TD
Extract RGB
Image Extract
Radiometric
Data (1D) TD<=2.20
Remove
Background Convert to
2D TD>2.20
Convert to
greyscale S<25 && FS<25
Remove
Background
1
No Ulcer
1
Ulcer
1
—
S>50 && FS>50
Foot
Suspected
Smoothening
Extract
Suspected
Region
with values ranging from 0 to 255. These
values for the radiometric data were obtained
in Kelvin times one hundred. A single channel
grayscale image can be constructed and
shown when displayed. To understand the
displayed image, the data in the grayscale
image ranges in a color scale of 0-255. The
zero value represents the lowest temperature
from the actual radiometric data, and the 255
value represents the highest temperature.
Moreover, the scaled values were used to
BGR Foot
Highlight
Ulcer Region
No Ulcer
1
1
No Ulcer
0
ULCER?
Display with
Readings
BGR Foot
w / o
background
END
extract portions of the image following an
image segmentation procedure. Applying a
binary threshold to the grayscale helps in
segmenting the feet of the patient from any
background structures. This is based on the
idea of temperature variation between the feet
segments (Hot) and the background (Cold). A
threshold of 149 was applied on the grayscale
image to extract the feet segments. The binary
image was then eroded to remove any noise
(wrongly classified background segments) that
Current Pedorthics | January/February 2020
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