- Surely there is a tool you can find in image processing to search for lines. Use it. Find all lines in the image.
- For EACH dark line found, compute the parameters of that line. You can use various tools to find the line coefficients in the form a*x + b*y = c. Do that for EVERY line.
- Consider every pair of lines found. Compute the intersection of each pair of lines. Store that intersection point in an array.
- Use a clustering tool on the intersections as found.
How to detect cluster of radial lines which are generated from same point ?
14 views (last 30 days)
John D'Errico on 4 Dec 2022
All of this should be quite doable.
Image Analyst on 5 Dec 2022
Not sure what you want to find out since "detect" is so vague and unspecific. Please be specific. Like do you want a length distribution, or the point where all the lines seem to emanate from? How many clusters per image are there? Always 2, one on the left half and one on the right half? Or can there be multiple clusters per image?
Have you tried thresholding and then calling regionprops?
If you have any more questions, then reply back with specific questions, description of what you want to measure, and 2 or 3 more images so we can see how the images vary. But do so after you read this: