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

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maskSLIC

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

Development

This code is still a work in progress. The following issues still need to be resolved:

  • Fix the enforce connectivity method to work with maskSLIC

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:https://scikit-image.org/)

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

An outline of the method is available at: http:https://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

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

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