Thanks for this video. Very clear, and good examples. For custom colors, my objects are rather small and have odd shapes, so I draw several custom ROIs in ImageJ and take the average RGB values reported. How do I convert traditional RGB values into relative absorbance (what CellProf uses)? I'd like to just enter these manually, rather than using a reference image.
For each channel, R, G, and B, divide by the max value (bitdepth - 1). For 8 bit images, divide each by 255. For 16 bit images, divide by 65535. So if you have RGB of [255, 128, 0], then you'd get [1, 0.502, 0]
Thanks for this video. Very clear, and good examples. For custom colors, my objects are rather small and have odd shapes, so I draw several custom ROIs in ImageJ and take the average RGB values reported. How do I convert traditional RGB values into relative absorbance (what CellProf uses)? I'd like to just enter these manually, rather than using a reference image.
For each channel, R, G, and B, divide by the max value (bitdepth - 1). For 8 bit images, divide each by 255. For 16 bit images, divide by 65535.
So if you have RGB of [255, 128, 0], then you'd get [1, 0.502, 0]