Observed since 21 Oct, 10:21 UTC
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Scripts for image features calculation.
Functions related to feature extraction. Feature extraction should be done like this:
from aicsfeatures.extractor import *
features_result = xxx.get_features(args=None, seg=image_xxx)
where xxx can be
Assumptions of each function about the input image should be detailed inside the function like this
Assumptions:
- Input is a ZYX 16-bit numpy array (2D images can be passed in as a 1YX)
- There is a single object of interest
- Background has value 0
- Object of interest have pixel value > 0
The result features_result should always be a single row Pandas dataframe.
exutils.py: Main routine for feature calculation. We try to re-use functions from skimage (shape analysis) and Mahotas (texture analysis). Here is also the place to implement new features that are not found in those packages. We try to be general and do not say anything specific about the type of biological structure that the input image should represent.
mem.py: Wrappers for feature extraction of cell membrane images.
dna.py: Wrappers for feature extraction of dna images.
structure.py: Wrappers for feature extraction of structures images. Things to be defined: which type of feature we should extract for each given structure. Or do we do all to all?
stack.py: Wrappers for feature extraction of whole stack images.
The default project layout and build steps are discussed in BUILD.md. Some of the information is related to the AICS build process.
Download counts and popularity will appear here as the collector receives them.
| Version | Published | Direct dependencies | Open version |
|---|---|---|---|
| 0.2.1 | 5 Jun 2019 | 12 |
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Observed since 21 Oct, 10:21 UTC
No superseded metadata states collected. Unchanged observations do not create new revisions.
package:d7ce84cfc76e4bba949cdbca939b1400fe76b2cb10ee935e7f5f134568134c5b