Join devRant
Do all the things like
++ or -- rants, post your own rants, comment on others' rants and build your customized dev avatar
Sign Up
Pipeless API
From the creators of devRant, Pipeless lets you power real-time personalized recommendations and activity feeds using a simple API
Learn More
-
@rantsauce eh ? Any thoughts ?
-
Trying to separate connected shapes that sometimes have breaks in them to a certain black and white threshold to clear pixel noise and identify in this case drawn or written characters on a page in preparation for a mnist style training
In this case in another script than standard English
Here’s a hint
All the methods work but in larger noisier images some of them lag a lot
Some require minor image preparation however -
@TheSilent it is
So which do you think would be faster to detect related points in an image to a certain threshold ?
A. Scan a line at a time and define a rectangle surrounding the shape ?
B. Starting at a pixel find values in each direction within a tolerance and recurse each point found with the same function
C. Do something similar to above but try to find the edges by finding the last point before blank space to get a shape
D. Identify all line segments on the horiz very and diagonals and see which ones intersect ? Omg I asked this before. After discovering all the points that are within threshold and iterating through these alone?
E. Is there another goddamn method ??? Lol
random