Histogram thresholding with BiGauss using Ratio: algorithm was implemented. The goal was to process the FGT-segmentation cases which were not processed by the Z-alg.
First doublechecked that in case of clear peaks the result is as good or close as Z-alg:
 |
case ABRI: BiGauss with ratio [2,4] finds good separation
Next we attempted to process harder cases where the peaks are much less clearly separated. In all the experiments below, 10M iterations were used. User can now specify the amount of iterations required.
|
 |
case ABBR: histogram split
|
 |
| case ABBR: thresholding segmentation |
 |
case BARA: histogram split
|
 |
case BARA: threshold seg,mentation
|
 |
case BARZ
|
 |
| case BARZ: threshold segmentation |
No comments:
Post a Comment