Image Enhancement Scenario¶
Warning
This section is under construction! Some information might be missing.
I Improving image segmentation with image enhancement methods¶
Browser
Load image YR01_t40_crop.inr.gz
Segmentation
algo seededWatershedSegmentation
h_min -> 2
background -> 1
volume_threshold -> ~1000
Apply
Show segmentation defects (hole on the surface)
Preprocess
algo boundaryEdgeEnhancement
Edge Intensity: max
Threshold: 15
on image
Segmentation
algo seededWatershedSegmentation
h_min -> 2
background -> 1
volume_threshold -> ~1000
Apply
Show segmentation defects
II Improving image segmentation With imageEnhancement package:¶
Preprocess
algo anisotropic3dImageEnhancement
iterations -> 15
tensor -> 10
Binarization
algo lsmContour
stop criterion: 0.005
smoothing OFF
thresholds 0-8
Preprocess
algo edgeEnhancementBinaryimage
on ani image without binary mask
drop binary mask and apply to show difference
Segmentation
algo seededWatershedSegmentation
h_min -> 2
background -> 1
volume_threshold -> ~1000
Apply
Show segmentation enhancement
Videos
First Scenario | Second Scenario |
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