cvpy.biomedimage.BiomedImageTable.BiomedImageTable¶

Implement biomedical image processing functions.

Parameters:

table:: Specifies the input table that contains image data.
image:: Specifies the name of the column that contains image binaries.
dimension:: Specifies the name of the column that contains dimensions of images.
resolution:: Specifies the name of the column that contains resolutions of images.
imageFormat:: Specifies the name of the column that contains formats of image binaries.
path:: Specifies the name of the column that contains file paths.
label:: Specifies the name of the column that contains labels of images.
id:: Specifies the name of the variable that identifies each image.
size:: Specifies the name of the column that contains byte lengths of image binaries.
type:: Specifies the name of the column that contains the image type.

Returns:

__init__(table: CASTable | None = None, image: str | None = None, dimension: str | None = None, resolution: str | None = None, imageFormat: str | None = None, path: str | None = None, label: str | None = None, id: str | None = None, size: str | None = None, type: str | None = None) → None¶

Methods

__init__([table, image, dimension, ...])
as_dict()	Create a dictionary representation of this object.
fetch_geometry_info([n, qry, posCol, ...])	Fetch geometry information from this BiomedImageTable.
fetch_image_array([n, qry, image, dim, res, ...])	Fetch image array from this BiomedImageTable.
from_table(cas_table[, image_type, image, ...])	Creates an ImageTable from a CASTable.
has_decoded_images()	Check if this table contains decoded images or encoded images.
load(connection, path[, load_parms, ...])	Loads images in an ImageTable.
morphological_gradient([kernel_width, ...])	Compute the morphological gradient for each 3D grayscale image in this BiomedImageTable.
sphericity(use_spacing, input_background, ...)	Quantify the sphericity for the given component from this BiomedImageTable.
validate_set_column(column, column_name, ...)

Attributes