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add keywords for all nodes

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matei jordache
2026-04-04 14:58:56 -07:00
parent 69f1d1bebd
commit a0d3b22f18
195 changed files with 437 additions and 198 deletions
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10
backend/nodes/tip_deconvolution.py
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@@ -26,16 +26,18 @@ class TipDeconvolution:
DESCRIPTION = (
"Reconstruct the true surface from a tip-broadened measured image. "
"Uses morphological grey erosion (Villarrubia algorithm): "
" mytip = flip(tip) − max(flip(tip)) [max shifted to 0] "
" surface[y,x] = min_{dy,dx}[image[y+dy, x+dx] − mytip[dy,dx]] "
" mytip = flip(tip) - max(flip(tip)) [max shifted to 0] "
" surface[y,x] = min_{dy,dx}[image[y+dy, x+dx] - mytip[dy,dx]] "
"Connect the tip output from a TipModel node. "
"The tip pixel size must match the image pixel size. "
)
KEYWORDS = ("erosion", "morphology", "villarrubia", "surface reconstruction", "apex", "deblur")
def process(self, field: DataField, tip: DataField) -> tuple:
# Gwyddion gwy_tip_erosion:
# mytip = flip(tip) − max(flip(tip)) (values ≤ 0, apex = 0)
# result[y,x] = min_{ty,tx}[surface[y+ty, x+tx] − mytip[ty,tx]]
# mytip = flip(tip) - max(flip(tip)) (values ≤ 0, apex = 0)
# result[y,x] = min_{ty,tx}[surface[y+ty, x+tx] - mytip[ty,tx]]
tip_flipped = np.flipud(np.fliplr(tip.data))
mytip = tip_flipped - tip_flipped.max() # shift so max = 0