Generates a feature image for Trainable Weka Segmentation.
Use this terminology to specify which features should be generated:
- BOUNDING_BOX_DEPTH
- BOUNDING_BOX_WIDTH
- BOUNDING_BOX_HEIGHT
- CENTROID_X
- CENTROID_Y
- CENTROID_Z
- MASS_CENTER_X
- MASS_CENTER_Y
- MASS_CENTER_Z
- MAX_DISTANCE_TO_CENTROID
- MAX_DISTANCE_TO_MASS_CENTER
- MEAN_DISTANCE_TO_CENTROID
- MEAN_DISTANCE_TO_MASS_CENTER
- MAX_MEAN_DISTANCE_TO_CENTROID_RATIO
- MAX_MEAN_DISTANCE_TO_MASS_CENTER_RATIO
- MAXIMUM_INTENSITY
- MEAN_INTENSITY
- MINIMUM_INTENSITY
- SUM_INTENSITY
- STANDARD_DEVIATION_INTENSITY
- PIXEL_COUNT
- local_mean_average_distance_of_touching_neighbors
- local_maximum_average_distance_of_touching_neighbors
- count_touching_neighbors
- local_minimum_average_distance_of_touching_neighbors
- average_touch_pixel_count
- local_minimum_count_touching_neighbors
- average_distance_n_closest_neighbors
- average_distance_of_touching_neighbors
- local_mean_count_touching_neighbors
- local_mean_average_distance_n_closest_neighbors
- local_maximum_average_distance_n_closest_neighbors
- local_standard_deviation_average_distance_of_touching_neighbors
- local_maximum_count_touching_neighbors
- local_standard_deviation_count_touching_neighbors
- local_standard_deviation_average_distance_n_closest_neighbors
- local_minimum_average_distance_n_closest_neighbors
Example: "MEAN_INTENSITY count_touching_neighbors"
Ext.CLIJx_generateLabelFeatureImage(Image input, Image label_map, Image label_feature_image_destination, String feature_definitions);