/sci/ - Science & Math » Thread #12470828

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Anonymous Wed 16 Dec 02:22:40 2020 No.12470828 View Reply Original Report

Quoted By: >>12470844 >>12470866 >>12470897

I need an algorithm or filter to color lines. The input is a 2D black/white image. The output is the same 2D image but the curves are colored in grayscale as a function of the lines thickness.

How can this be accomplished? My initial thought is just a convolution with a gaussian.

Your thoughts, /sci/?

Anonymous

Anonymous Wed 16 Dec 2020 02:27:12 No.12470844 Report

Quoted By:

>>12470828
>The input is a 2D black/white image. The output is the same 2D image but the curves are colored in grayscale as a function of the lines thickness.
So what domain are we talking about? Is it $\mathbb{N}\times\mathbb{N}$ or rather more abstract math problem with $\mathbb{R}\times\mathbb{R}$ ?

Anonymous

Anonymous Wed 16 Dec 2020 02:35:23 No.12470866 Report

Quoted By:

>>12470828
Post example of input image.

Anonymous

Anonymous Wed 16 Dec 2020 02:45:43 No.12470897 Report

Quoted By: >>12470941

>>12470828
>convolution with a gaussian
That'd be okay as long as the convolution matrix is as big as the thickest part, but big convo mat=blurry image.

Anonymous

View Same Google iqdb SauceNAO PCB-Trace2.jpg, 45KiB, 640x640

Anonymous Wed 16 Dec 2020 03:03:34 No.12470936 Report

Quoted By:

Here's more info. A scanner scans a PCB. It's of interest how the line widths are distributed as a function of x,y position on the board. Just looking at the scanned Image is not conducive to knowing where the traces go fat/thin. Its better if the lines are given a color proportional to the line width.

Anonymous

Anonymous Wed 16 Dec 2020 03:04:46 No.12470941 Report

Quoted By:

>>12470897
>That'd be okay as long as the convolution matrix is as big as the thickest part, but big convo mat=blurry image.

I was just thinking of masking the convoluted image with the original, so it won't be blurry.

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