Meta-learning for Image Processing Based on Case-Based Reasoning - Computational Intelligence in Healthcare: Advanced Methodologies - page 235

(0.75, 0.75, 1) BS=67 (0.75, 2, 1) BS=211

(a) Image gan128 (b) Best segmentation (c) Segmentation parameter

from parrot

Fig. 21. The influence of the selected parameter-set to the segmentation result and the number
of basins shown on image gan128

(a) Color table: Standard (b) Color table: System

(c) Color table: VGA (d) Color table: wafecolor

Fig. 22. Different pseudo-colored images of gan128

(see Fig. 23c), for example the check. The result of the automatic evaluation is shown
in Fig. 23d.
Another aspect is that interesting textures in the image may not be visible for the
human eye (compare Fig. 21 with the Pseudo Color Images from Fig. 22).