Metadata-Version: 2.1
Name: maskslic
Version: 0.3.4
Summary: Simple linear iterative clustering (SLIC) in a region of interest (ROI)
Home-page: https://www.birving.com
Author: Benjamin Irving
Author-email: mail@birving.com
License: Copyright (C) 2016-2019, Benjamin Irving. See LICENSE file for distribution conditions
Description: # 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](doc/images/p1.png)
        
        Figure 2: The final superpixel regions within the ROI
        
        ![superpixels](doc/images/p2.png)
        
        ## 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.
        
Platform: UNKNOWN
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Science/Research
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3
Classifier: Topic :: Scientific/Engineering :: Bio-Informatics
Classifier: License :: Free for non-commercial use
Description-Content-Type: text/markdown
