This repository has been archived by the owner on Nov 3, 2024. It is now read-only.
Clustering/segmentation of RGB data (Feature Detection) #38
Labels
feature
New feature or request
Image Processing
Regarding 2D matrix (image) data
moderate priority
Accomplish in appropriate time window
Milestone
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).
The text was updated successfully, but these errors were encountered: