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Clustering/segmentation of RGB data (Feature Detection) #38

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theBadMusician opened this issue Feb 12, 2022 · 1 comment
Open

Clustering/segmentation of RGB data (Feature Detection) #38

theBadMusician opened this issue Feb 12, 2022 · 1 comment
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feature New feature or request Image Processing Regarding 2D matrix (image) data moderate priority Accomplish in appropriate time window

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@theBadMusician
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Time estimate: 10 hours
Deadline: N/A

Description of task:
It would be beneficial to apply a type of segmentation on the RGB data for easier HSV filtering afterwards. Clustering methods that should be looked into: K-means, superpixels, hierarchical (agglomerative and divisive).

@theBadMusician theBadMusician added feature New feature or request moderate priority Accomplish in appropriate time window labels Feb 12, 2022
@theBadMusician theBadMusician self-assigned this Feb 12, 2022
@theBadMusician theBadMusician changed the title Set up a clustering/segmentation functions in Feature detection Clustering/segmentation of RGB data (Feature Detection) Feb 12, 2022
@theBadMusician theBadMusician added this to the Development Sprint 0.5 milestone Feb 22, 2022
@theBadMusician theBadMusician added the Image Processing Regarding 2D matrix (image) data label Feb 22, 2022
@theBadMusician
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A recommendation from Stahl was to try out Directional Anisotropic-Diffusion filtering as a segmentation method. Mentioned that usual K-means clustering should work pretty well as well.

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Labels
feature New feature or request Image Processing Regarding 2D matrix (image) data moderate priority Accomplish in appropriate time window
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