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Thank you for sharing! #2
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Not the author nor an expert, but I've taken a look at the code and I don't think the haze on your glass is that relevant, the image gets blurred as one of the first steps in the processing. |
@pastacolsugo thank you for the suggestion! Is the purpose of blurred to remove noise from image? To remove small artifacts such as dirt or reflections? The dial hand edge detection is hard to understand on the first left-most dial image. Intersection is about 1 when expected 4. Hand Edge shows a short vertical line at 1 when expected radial line at 4. I will look at line 30 and Hough Line Transform: |
Yes usually you apply a blur to reduce noise. Maybe you can look into working with only one of the three RGB channels, you can try a binary filter or just increasing contrast. |
I am amazed that a little over 100 lines of python can do this.
I am trying to figure out a couple of issues:
ToDo:
Analyze output images
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