Morphology
Functions:
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Computes the fractal dimenison based on the differential box counting method |
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Extended regionprops function adding our own props |
- cell_analysis_tools.morphology.fractal_dimension_gray(roi, intensity, mode='standard', debug=False)[source]
Computes the fractal dimenison based on the differential box counting method
- Parameters:
roi (ndarray) – labels image.
intensity (ndarray) – intensity image .
mode (str, optional) – Choose the differential box counting method “Standard” will keep intensities in place “Shifting” will begin box counting method with bottom of first box at the min grayscale value. The default is “standard”.
debug (bool, optional) – Show debugging in formation. The default is False.
- Returns:
D – fractal dimension.
- Return type:
float
- cell_analysis_tools.morphology.regionprops(label_image, intensity_image=None)[source]
Extended regionprops function adding our own props
To see a complete docstring for this function see regionprops skimage.
Notes
Additional properties that can be accessed as attributes or keys:
- radius_maxfloat
The maximum distance of any pixel in the segmented region to the closest background pixel.
- radius_meanfloat
Mean value the distances of all pixels in the segmented region to their closest background pixel.
- radius_medianfloat
Median value the distances of all pixels in the segmented region to their closest background pixel.
- intensity_sum
The sum of the pixel intensities within the segmented region.
- fractal_dimensionfloat
Fractal dimension, differential box counting method implementation