fun.imagej.segmentation.fast-segmentation
add-feature-map-fn
(add-feature-map-fn seg feature-name feature-fn)
Add a feature map generator to a segmentation. These are stored as maps
clear-cache
(clear-cache seg)
Clear the cache we created for our featuremaps
generate-dataset
(generate-dataset seg input-img)
Generate a dataset for training
generate-position
(generate-position seg label)
Generate a candidate sample position.
We should probably give a way of providing a custom dimension ordering.
generate-sample-points
(generate-sample-points seg label)
Generate the positive and negative sample points given a segmentation and the target labeling.
Positive samples are drawn from the labeling, while negative samples come from regions outside the labeling.
generate-sample-points-negative-label
(generate-sample-points-negative-label seg label negative-label)
Generate the positive and negative sample points given a segmentation and the target labeling.
Positive samples are drawn from the labeling, while negative samples come from regions outside the labeling.
generate-sample-points-negative-labels
(generate-sample-points-negative-labels seg label negative-labels)
Generate the positive and negative sample points given a segmentation and the target labeling.
Positive samples are drawn from the labeling, while negative samples come from regions outside the labeling.
save-segmentation-config
(save-segmentation-config seg filename)
Save a clean version of the segmentation configuration.
segment-image
(segment-image seg to-segment)
Use a solved segmentation and an input image to segment an input.
solve-segmentation
(solve-segmentation seg)
Solve the segmentation for fully populated metadata.