Pixel Classification using ilastik

Type
Author
ilastik team
Requires
Execution Platform
Programming Language
Supported image dimension
Interaction Level
License/Openness
Description

This workflow classifies, or segments, the pixels of an image given user annotations. It is especially suited if the objects of interests are visually (brightness, color, texture) distinct from their surrounding. Users can iteratively select pixel features and provide pixel annotations through a live visualization of selected feature values and current prediction responses. Upon users' satisfaction, the workflow then predicts the remaining unprocessed image(s) regions or new images (as batch processing). Users can export (as images of various formats): selected features, annotations, predicted classification probability, simple segmentation, etc. This workflow is often served as one of the first step options for other workflows offered by ilastik, such as object classification, automatic tracking.

Additional keywords
Entry Curator
Last modified
05/16/2018 - 01:49