pycroglia.ui.widgets.segmentation package

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• pycroglia.ui.widgets.segmentation.tests package
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class pycroglia.ui.widgets.segmentation.results.SegmentationResults(file_path, img, segmented_cell_indices, gray_filter_value, min_size, erosion_radius)

Bases: object

Data class containing the results of cell segmentation for a single image.

Stores the file path and the labeled cells resulting from the segmentation process. Used to pass segmentation results between workflow steps.

Parameters:

• file_path (str)

• img (LabeledCells)

• segmented_cell_indices (List[int])

• gray_filter_value (float)

• min_size (int)

• erosion_radius (int)

file_path

Path to the original image file that was segmented.

Type:

str

img

The labeled cells object containing segmentation results.

Type:

LabeledCells

cell_indices

List of all cell indices from segmentation.

Type:

Optional[List[int]]

gray_filter_value

Gray filter threshold used.

Type:

Optional[float]

min_size

Minimum size for small object removal.

Type:

Optional[int]

erosion_radius

Erosion footprint radius.

Type:

Optional[int]

as_dict()

Convert the segmentation results to a dictionary representation.

Returns:

Dictionary containing file_path, img, and metadata as key-value pairs.

Return type:

dict

erosion_radius: int

file_path: str

gray_filter_value: float

img: LabeledCells

min_size: int

segmented_cell_indices: List[int]

Module contents