lch2lab(lch)

LCH is the cylindrical representation of the LAB (Cartesian) colorspace

Parameters

lch : (..., 3) array_like

The N-D image in CIE-LCH format. The last ( N+1 -th) dimension must have at least 3 elements, corresponding to the L , a , and b color channels. Subsequent elements are copied.

Raises

ValueError

If :None:None:`lch` does not have at least 3 color channels (i.e. l, c, h).

Returns

out : (..., 3) ndarray

The image in LAB format, with same shape as input :None:None:`lch`.

CIE-LCH to CIE-LAB color space conversion.

Examples

This example is valid syntax, but we were not able to check execution

>>> from skimage import data
... from skimage.color import rgb2lab, lch2lab
... img = data.astronaut()
... img_lab = rgb2lab(img)
... img_lch = lab2lch(img_lab)
... img_lab2 = lch2lab(img_lch)

See :

Back References

The following pages refer to to this document either explicitly or contain code examples using this.

skimage.color.colorconv.lch2lab

Local connectivity graph

Hover to see nodes names; edges to Self not shown, Caped at 50 nodes.

Using a canvas is more power efficient and can get hundred of nodes ; but does not allow hyperlinks; , arrows or text (beyond on hover)

SVG is more flexible but power hungry; and does not scale well to 50 + nodes.

All aboves nodes referred to, (or are referred from) current nodes; Edges from Self to other have been omitted (or all nodes would be connected to the central node "self" which is not useful). Nodes are colored by the library they belong to, and scaled with the number of references pointing them

---

File: /skimage/color/colorconv.py#1576
type: <class 'function'>
Commit: