mss_saliency
| Crates.io | mss_saliency |
| lib.rs | mss_saliency |
| version | 1.1.0 |
| source | src |
| created_at | 2017-05-30 14:37:53.476399 |
| updated_at | 2022-09-19 20:14:36.195896 |
| description | Detection of visually salient image regions using Maximum Symmetric Surround algorithm |
| homepage | https://infoscience.epfl.ch/record/151989 |
| repository | https://github.com/kornelski/mss_saliency |
| max_upload_size | |
| id | 16906 |
| size | 10,198 |
Kornel (kornelski)
documentation
https://docs.rs/mss_saliency
README
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