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id pixel amount
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Tot.
Pixels
3374
3226
3181
3167
3183
3213
3163
3238
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2401
2434
2385
2401
2383
2469
2473
2452
2407
2350
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els (in diameter)
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edge contrast was chosen to be 20% after some trial. This value
can be chosen according to the color or contrast between the
scar and normal skin and frequency 75 was considered enough
to make a sufficient border
Table3. Magic Wand process on
Homomorphicaly Filtered Test Image#1
; Std. Tot.
No. Mean | Median Dev Pixels
1 114.48 114 10.44 3336
2 114.76 114 9.04 3238
3 113.94 114 8.82 3262
4 114.54 114 9.49 3297
5 113.99 114 9.49 3297
6 114.16 114 8.87 3267
7 114.22 114 9.17 3261
8 114.65 114 10.42 3347
9 114.66 114 8.32 3217
10 114.04 114 8.32 3217
Table4. Magic Wand process on
Homomorphicaly Filtered Test Image#2
: Std. Tot.
No. Mean | Median Dev. Pixels
1 128.90 127 8.71 2422
2 128.67 127 8.34 2391
3 128.85 127 8.58 2418
4 128.90 127 8.86 2411
5 128.74 127 8.31 2412
6 128.51 127 8.13 2378
7 127.99 127 7.14 2332
8 128.17 127 7.41 2357
9 128.42 127 7,73 2380
10 128.94 127 8.80 2422
7.3 Comparison of the Results
First of all, there is a significant difference in the amount of
pixels selected when the two methods are used. During the
application it was observed that the magic wand tool can
exclude some pixels (from of manual operator's selection)
depending on the tolerance value that is specified. This effect is
shown in Figure.9. Red squares show the pixels which are not
included in the selected area.
Another reason can be that, magnetic lasso is an operator
depended tool. Operator selects the points and creates border
manually from the beginning.
This enables the person to decide the extensity of the edging. In
that way, the operator might select a wider border that he thinks
it is part of the scar. On the other hand the magic wand tool is
an automated tool that only results according to the digital
numbers of the selected pixel.
Figure 10. Pixels which are not included at result of Magic
Wand tool process
Standard deviation rates are higher in magnetic lasso selection
process. This can be the effect of exclusion of outlier pixels
over scars by the magic wand tool. Also standard deviation
represents the variation among the pixels in the selection area
which reveals their difference in digital numbers. However, this
does not mean that these pixels do not belong to the scar.
7.4 Quantitative Analysis on Filtered Images
Filtered images were chosen according to their results which
were considered most accurate or suitable to represent the
whole scar on the skin by using overlay visualization of filtered
and original images. Because filtered images are only black and
white images, magic wand tool is enough to calculate the
amount of pixels and also it is enough to execute the tool once
since there will be no change in the digital number of the pixel
that is chosen by the operator inside the region of the scar.
Table 5.Magic Wand tool applied on filtered images
Test Test
Filters Image Image Diff,
#1 #2
Photocopy: Det:24 -Dark:5 2409
Trace: Lower: 128
Photocopy: Det:24 -Dark:5
Trace: Lower: 170
Photocopy:Det:24 -Dark:10
Trace: Lower: 128
Photocopy: Det:24 -Dark:10
Trace: Lower: 170
Photocopy: Det:24 -Dark:5
Thresh: Lower: 128
Photocopy: Det:24 -Dark:5
Thresh: Lower: 165
Photocopy: Det:20 -Dark:5
Thresh: Lower: 200
3500 2569 931
3637 2682 955
3783 2832 951
2409
3473 2547 926
3537
7.5 Comparison between Homomorphic Images and
Filtered Images
When the Test Image#1 and Test Image#2 are compared, it can
be seen that total pixel amount difference calculated by magic
wand tool is less on homomorpicaly filtered images than
enhanced images (different filter applications). The reason of
this difference is that, filters comprise some pixels from upper
part which has lighter red color than main scar. But when the
magic wand tool was used on non-enhanced images this part is
not counted as adjacent pixels. See Figure 9.
8. CONCLUSIONS
As a conclusion, all the performed tests show that it is possible
to use the filters mentioned above for the determination and
monitoring of skin disorders. On the one hand they have
achieved satisfactory results and on the other hand the software
used (Photoshop) is user friendly and requires no special
training or skills to use. The combination of the “Trace Contour
- Photocopy” filters provides good results which are easy to
interpret and provide some conclusions because they show not
only the original image but also the border. On the contrary;
"Find Edges-Photocopy-Trace Contour" filters don't reveal
exact boundaries. Parameters of filters are also another aspect
which needs to be considered in further investigations
concerning also the hurt area size on the image.