Icy HK-Means

Type
Author
Alexandre Dufour
Execution Platform
Implementation Type
Interaction Level
License/Openness
Description

This segmentation method performs a N-class thresholding based on a K-Means classification of the image histogram, then extracts objects in a bottom-up manner using user-defined minimum and maximum object sizes. Very useful to detect clustered objects in fluorescence microscopy.

Additional keywords
Entry Curator
migration
Last modified
10/18/2019 - 19:19