Skip to content

Simple linear iterative clustering (SLIC) in a region of interest (ROI)

License

Notifications You must be signed in to change notification settings

benjaminirving/maskSLIC

Repository files navigation

maskSLIC

Simple linear iterative clustering (SLIC) in a region of interest

Outline

This code demonstrates the adaption of SLIC for a defined region of interest. The main contribution is in the placement of seed points within the ROI.

The code is a modification of the SLIC implementation provided by Scikit-image (http://scikit-image.org/)

An online demo is available at: http://maskslic.birving.com/index

An outline of the method is available at: http://arxiv.org/abs/1606.09518

Figure 1: An example region and the automatically placed seed points using this method.

seed points

Figure 2: The final superpixel regions within the ROI

superpixels

Getting started

Install dependencies
pip install -r requirements.txt

build cython code
python setup.py build_ext --inplace

run example
python run_example.py

Using a python virtualenv is reccommended on linux to get the latest versions of the dependencies.

Development

This code is still a work in progress.

About

Simple linear iterative clustering (SLIC) in a region of interest (ROI)

Topics

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published
pFad - Phonifier reborn

Pfad - The Proxy pFad of © 2024 Garber Painting. All rights reserved.

Note: This service is not intended for secure transactions such as banking, social media, email, or purchasing. Use at your own risk. We assume no liability whatsoever for broken pages.


Alternative Proxies:

Alternative Proxy

pFad Proxy

pFad v3 Proxy

pFad v4 Proxy