#entropy #segmentation #saliency

mss_saliency

Detection of visually salient image regions using Maximum Symmetric Surround algorithm

7 stable releases

1.0.6 Aug 21, 2020
1.0.5 Jul 10, 2020
1.0.4 Mar 21, 2020
1.0.3 Oct 16, 2017
1.0.0 May 30, 2017

#6 in #entropy

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MIT license

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Maximum Symmetric Surround

Rust implementation of Maximum Symmetric Surround algorithm by Radhakrishna Achanta.

It's a simple and fast algorithm that aims to detect "interesting" areas in the image that stand out from the background.

The implementation is only a single function that takes a 1-channel image and outputs a saliency map.

Installation

It's a Cargo crate:

cargo add mss_saliency

Usage

Documentation.


lib.rs:

Sailiency map is computed using Maximum Symmetric Surround algorithm by Radhakrishna Achanta.

https://core.ac.uk/download/pdf/147962379.pdf

Dependencies

~62KB