skimage2.color.rgb2hed#

skimage2.color.rgb2hed(rgb, *, channel_axis=-1)[source]#

RGB to Haematoxylin-Eosin-DAB (HED) color space conversion.

Parameters:

rgbarray_like of shape (…, C=3, …): The image in RGB format. By default, the final dimension denotes channels.
channel_axisint, optional: This parameter indicates which axis of the array corresponds to channels.

Added in version 0.19: channel_axis was added in 0.19.

Returns:

outndarray of shape (…, C=3, …): The image in HED format. Same dimensions as input.

Raises:

ValueError: If rgb is not at least 2-D with shape (…, C=3, …).

References

[1]

A. C. Ruifrok and D. A. Johnston, “Quantification of histochemical staining by color deconvolution.,” Analytical and quantitative cytology and histology / the International Academy of Cytology [and] American Society of Cytology, vol. 23, no. 4, pp. 291-9, Aug. 2001.

Examples

>>> from _skimage2 import data
>>> from _skimage2.color import rgb2hed
>>> ihc = data.immunohistochemistry()
>>> ihc_hed = rgb2hed(ihc)