Fix incorrect visualization of thresholded grayscale images#16
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mrajaeim wants to merge 1 commit intoAlireza-Akhavan:masterfrom
Open
Fix incorrect visualization of thresholded grayscale images#16mrajaeim wants to merge 1 commit intoAlireza-Akhavan:masterfrom
mrajaeim wants to merge 1 commit intoAlireza-Akhavan:masterfrom
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Matplotlib was auto-normalizing grayscale images, causing incorrect visual interpretation of thresholding results (especially THRESH_TRUNC). Added explicit vmin=0 and vmax=255 to all imshow calls to ensure pixel intensities are displayed using the true 8-bit grayscale range.
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Thresholding outputs from OpenCV were being displayed using Matplotlib’s default normalization. This caused misleading visuals because intensity ranges (e.g., 0–127 after
THRESH_TRUNC) were stretched to 0–255 during display.Root Cause:
plt.imshow()automatically rescales image intensity whenvminandvmaxare not specified.Solution:
All grayscale visualizations now explicitly use:
This ensures the displayed images accurately reflect true pixel intensities from OpenCV.
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