Timeline for Detecting thin lines in binary images
Current License: CC BY-SA 4.0
10 events
| when toggle format | what | by | license | comment | |
|---|---|---|---|---|---|
| May 29, 2023 at 22:03 | history | edited | user16034 | CC BY-SA 4.0 |
edited body
|
| May 29, 2023 at 21:57 | comment | added | user16034 | @D.W.: I have added a case. And in the update I mention the topological skeleton. Line and edge detection are not relevant here. | |
| May 29, 2023 at 21:56 | history | edited | user16034 | CC BY-SA 4.0 |
added 85 characters in body
|
| May 29, 2023 at 19:17 | history | edited | user16034 | CC BY-SA 4.0 |
added 716 characters in body
|
| May 29, 2023 at 19:12 | history | edited | user16034 | CC BY-SA 4.0 |
added 716 characters in body
|
| May 29, 2023 at 18:31 | comment | added | user16034 | @CommandMaster: the size does not capture the shape. | |
| May 29, 2023 at 17:37 | comment | added | Command Master | I'm also not sure what I meant by farthest. What about the size of the white component, perhaps limited/weighted based on the closest black pixel? | |
| May 29, 2023 at 16:42 | comment | added | user16034 | @CommandMaster: indeed, there must be a solution that goes in that way. Finding the closest pixel is relatively easy and fast. As far as I know, the farthest is more costly (and it is not completely clear what farthest means in this context). | |
| May 29, 2023 at 16:27 | comment | added | Command Master | Perhaps you can calculate for each point its distance to the nearest black pixel, and to the farthest black pixel it can go to by only moving on white points (or perhaps even only points whose nearest black pixel is at most X). The first value could help you detect the curves being thin, while the second one could help you avoid small spots. | |
| May 29, 2023 at 15:10 | history | asked | user16034 | CC BY-SA 4.0 |