L A B Color Converter

The Munsell tools (Munsell Color System description) enable you to: • convert RGB to Munsell Hue Value/Chroma (select within 24 predefined RGB spaces plus a Custom space); • convert L * a*b * to Munsell HVC (select within 15 predefined illuminants plus a Custom illuminant); • convert Munsell to RGB and L * a*b *; • measure a sample, in reflectance, with one of the ...

https://www.babelcolor.com/cta_munsell.htm

Pantone certified RIPs have Pantone's defined CIE L * a*b * values included to aid in the conversion of spot into process. Here are Pantone's values for the colors you requested: PANTONE 5483 C 55.09 -18.65 -11.81. PANTONE 417 C 46.86 -1.9 5.77. PANTONE 452 C 72.12 -2.74 16.72.

https://printplanet.com/threads/l-a-b-values-for-pantone-colors.15436/

For this, I use images of skin spots in the RGB color space. The code below I can get the colors of each pixel and convert to HSV using color .rgb2lab. But as I want to convert to L * a*b *, because it is closer to human vision, in the python library there is no conversion to L * a*b *.

https://stackoverflow.com/questions/52767317/how-to-convert-rgb-image-pixels-to-lab

I suppose that the L channel is the first layer of the 3d array due to the shape (3, w, h) img_ l = np.asarray(img_ l , dtype=np.float32) img_ l = torch.from_numpy(img_ l ) # Convert from numpy array to torch tensor.

https://discuss.pytorch.org/t/cie-l-a-b-color-channels-extraction-using-numpy-and-pytorch/80091

Is there a way to convert color specifications defined by N. B .S. units in x, y, Y color space under illuminant C, 2° Standard Observer to delta E* values in CIE L * a*b * color space under D65, 10

https://www.researchgate.net/post/Converting_color_specifications_from_x_y_Y_to_CIELab_with_a_twist