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fix orientation thresholding in anisotropic_image_segmentation.py

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Same as #29757 in 5.x

The Python tutorial sample thresholds the orientation with a single cv.threshold call, passing HighThr as the maxval argument rather than as an upper bound:

```_, imgOrientationBin = cv.threshold(imgOrientation, LowThr, HighThr, cv.THRESH_BINARY)```

That computes imgOrientation > LowThr ? HighThr : 0, so HighThr never restricts the angle. The C++ counterpart uses inRange(imgOrientation, Scalar(LowThr), Scalar(HighThr), imgOrientationBin), and the tutorial text states "LowThr and HighThr define orientation range", so the C++ behaviour is the intended one.
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bmad4ever
2026-08-21 15:17:12 +01:00
committed by GitHub
parent 908c30ceb6
commit 218573c340
1 changed files with 1 additions and 1 deletions
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samples/python/tutorial_code/imgProc/anisotropic_image_segmentation/anisotropic_image_segmentation.py
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@@ -74,7 +74,7 @@ imgCoherency, imgOrientation = calcGST(imgIn, W)
## [thresholding] ## [thresholding]
_, imgCoherencyBin = cv.threshold(imgCoherency, C_Thr, 255, cv.THRESH_BINARY) _, imgCoherencyBin = cv.threshold(imgCoherency, C_Thr, 255, cv.THRESH_BINARY)
_, imgOrientationBin = cv.threshold(imgOrientation, LowThr, HighThr, cv.THRESH_BINARY) imgOrientationBin = cv.inRange(imgOrientation, LowThr, HighThr)
## [thresholding] ## [thresholding]
## [combining] ## [combining]