Hi All,
Here is the setup:
I have a film that has a single registration point in seven different regions of interest. I am able to do some edge finding and filtering to limit the points found in the regions to somewhere between 1~10 (each represented with unique x and y values). I have a template with the exact point position for a perfectly aligned film.
The Goal:
I need to select the points with in the regions that closest match the template, with the knowlede that the region may not contain any valid points.
Here is a rough layout of film/points:
-------------------------------------------
| |
| * |
| |
| * |
| * |
| |
| |
| * |
| * |
| |
| * * |
| |
| |
-------------------------------------------
I know that I can do some brute force distance measurements, but I am trying to keep it somewhat optimized because I may need to check many of these in a short period of time.
Any Suggestion?
I look forward to reading all the different insights that are offered, and thanks all in advance.
Cameron
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