add an image processing to detect pixels at the center of strong circular symmetry #3

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graffy · 2020-04-01T13:05:19+02:00

graffy commented

2020-04-01 13:05:19 +02:00

This idea was proposed by graffy at the 20/03/2020 meeting. This method can be used to detect circular particles.

The idea is that for each pixel we compute, treating this pixel to be a center of circular symmetry :

the radial profile of the pixel values in the neighborhood of this pixel.
the radial profile variance in the same neighborhood

Center of circular particles can then be detected at pixels where:

the radial profile variance is small (which means there is a strong circular symmetry with this pixel as as center)
and the radial profile exhibits a strong peak (to not consider uniform areas as proper center of circular symmetry). The position of the peak gives the particle radius.

This idea was proposed by graffy at the 20/03/2020 meeting. This method can be used to detect circular particles. The idea is that for each pixel we compute, treating this pixel to be a center of circular symmetry : - the radial profile of the pixel values in the neighborhood of this pixel. - the radial profile variance in the same neighborhood Center of circular particles can then be detected at pixels where: 1. the radial profile variance is small (which means there is a strong circular symmetry with this pixel as as center) 2. and the radial profile exhibits a strong peak (to not consider uniform areas as proper center of circular symmetry). The position of the peak gives the particle radius.

graffy added the

enhancement

prio:high

labels 2020-11-25 17:13:17 +01:00

graffy self-assigned this 2020-11-25 17:18:19 +01:00

graffy commented

2021-03-08 17:46:25 +01:00

commits related to work related to this ticket (manually added because lost in migration gogs -> gitea):

commits related to work related to this ticket (manually added because lost in migration gogs -> gitea): - e8b1e331fe59a5313d9b6855dd571cfe37e4d2d5 - 4daf2bfe91a69bfa702c111532c0f1fbdadc4bc2 - f0a624fc2b1898d5e305078c345bfc52fc95d839 - 608fefce0a21309294e4df89fdded44967e13556 - bfca19e039bf8f81bc4f7601fab5399fd2474587 - ad18e2e451d200ae90923b883a726f342f554143

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