Icy HK-Means

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Type
Component
Author
Alexandre Dufour
Requires
Icy Thresholder
Spot detection utilities
Connected Components
EzPlug SDK
Filter Toolbox (Icy)
Icy Protocols SDK
Execution Platform
Linux
Mac
Windows
Implementation Type
plugin
Interaction Level
Automated
License/Openness
Free and open source
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.

has function
Image analysis
Image classification
Image segmentation
Object detection
has topic
Bioimage informatics
Fluorescence microscopy
Additional keywords
quantification
Entry Curator
migration
Post date
10/11/2013 - 15:08
Last modified
10/18/2019 - 19:19
Download Page
http://icy.bioimageanalysis.org/plugin/HK-Means
Reference Publication Link
Automated Quantification of Cell Endocytosis Using Active Contours and Wavelet