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Modify background detect check to check for all squares having no std. As LUV appears insensitive to low colour noise

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This commit is contained in:
Julian Stirling 2025-11-21 12:43:40 +01:00
parent 3ebc4578d3
commit aa704239ed
1 changed files with 5 additions and 3 deletions
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8
src/openflexure_microscope_server/background_detect.py
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@ -337,11 +337,13 @@ class ChannelDeviationLUV(BackgroundDetectAlgorithm):
image_luv = cv2.cvtColor(image, cv2.COLOR_RGB2LUV) image_luv = cv2.cvtColor(image, cv2.COLOR_RGB2LUV)
mu = np.zeros(3) mu = np.zeros(3)
std = np.median(_chunked_stds(image_luv, 8, 8), axis=(0, 1)) c_stds = _chunked_stds(image_luv, 8, 8)
if np.any(std == 0): channel_blank = np.all(c_stds == 0, axis=(0, 1))
if np.any(channel_blank):
raise ChannelBlankError("Some LUV channels have no standard devaition.") raise ChannelBlankError("Some LUV channels have no standard devaition.")
std = np.maximum(std, self.min_stds)
std = np.median(c_stds, axis=(0, 1))
std = np.maximum(std, self.min_stds)
self.background_data = ChannelDistributions( self.background_data = ChannelDistributions(
means=mu.tolist(), standard_deviations=std.tolist() means=mu.tolist(), standard_deviations=std.tolist()
) )