https://github.com/kornelski/mss_saliency
Detection of visually salient image regions using Maximum Symmetric Surround algorithm
https://github.com/kornelski/mss_saliency
autocrop rust-library saliency saliency-map
Last synced: 4 months ago
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Detection of visually salient image regions using Maximum Symmetric Surround algorithm
- Host: GitHub
- URL: https://github.com/kornelski/mss_saliency
- Owner: kornelski
- Created: 2017-05-29T23:37:15.000Z (almost 8 years ago)
- Default Branch: master
- Last Pushed: 2024-08-04T19:56:26.000Z (10 months ago)
- Last Synced: 2025-01-11T13:33:39.002Z (4 months ago)
- Topics: autocrop, rust-library, saliency, saliency-map
- Language: Rust
- Homepage: https://lib.rs/mss_saliency
- Size: 11.7 KB
- Stars: 8
- Watchers: 4
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# Maximum Symmetric Surround
[Rust](https://www.rust-lang.org/) implementation of [Maximum Symmetric Surround algorithm](https://www.epfl.ch/labs/ivrl/research/saliency/saliency-msss/) 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](https://crates.io/crates/mss_saliency):
```sh
cargo add mss_saliency
```
## Usage
[Documentation](https://docs.rs/mss_saliency).