Name:
Randomize Labels

Version:
0.1

Type:
Script/Macro

Keywords:
label image,random

Requirements:
IMAGEJ

Brief Description:
If one labeled image has too many labels, "glasbey on dark" will not properly (visually) separate neighbours. This macro randomizes labels so two neighbours have little chance of having close values.

Detailed Explanation:
If one labeled image has too many labels, "glasbey on dark" will not properly (visually) separate neighbours. This macro randomizes labels so two neighbours have little chance of having close values.

DataSet Description:


External Location:
https://github.com/econdesousa/ImageAnalysis/tree/master/Randomize_Labels

Link To Publication:


Authors:
Eduardo Conde-Sousa - INEB - Instituto Nacional de Engenharia Biomédica