Pit Pattern Classification in Colonoscopy using Wavelets - WaveLab

5 Results
(a) All classes
(b) Non-neoplastic
(c) Neoplastic
Figure 5.10: Results for the LDB method (2 classes, k-NN, Pit pattern images)
overall classification results have been achieved with a value for s of 21 and a k-value
between 24 and 41. For the separate classes we instantly see that again we obtain a poor
classification performance for pit pattern types III-S and V for most different combinations
of k and s.
For the Outex images the results are mostly superior no matter which value we choose
for k and s as shown in figure 5.12. But as we can see, the overall classification results
are better for values for k between 1 and 24. For the classes 1, 2, 5 and 6 we get excellent
results for nearly all combinations of k and s, while for the classes 3 and 4 the classification
performance gets clearly worse for values for k between 40 and 50 and values for s between
30 and 100.
5.2.6 Centroid classification (CC)
For the two classes case the centroid classification achieved the best result using the R-
channel of the pit pattern images too. In the six classes case the best result was obtained
using the information stored in the R-channel and G-channel of the pit pattern images (i.e.
the information stored in the color channel for blue has been discarded).
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