https://github.com/sunsided/graph-based-image-segmentation

Graph-Based Image Segmentation in Rust
https://github.com/sunsided/graph-based-image-segmentation

computer-vision image-processing image-segmentation rust superpixel-algorithm superpixels

Last synced: 3 months ago
JSON representation

Graph-Based Image Segmentation in Rust

• Host: GitHub
• URL: https://github.com/sunsided/graph-based-image-segmentation
• Owner: sunsided
• License: mit
• Created: 2020-10-15T22:26:13.000Z (about 4 years ago)
• Default Branch: main
• Last Pushed: 2023-09-22T21:24:45.000Z (over 1 year ago)
• Last Synced: 2024-10-11T02:29:56.495Z (3 months ago)
• Topics: computer-vision, image-processing, image-segmentation, rust, superpixel-algorithm, superpixels
• Language: Rust
• Homepage: https://crates.io/crates/graph-based-image-segmentation
• Size: 662 KB
• Stars: 10
• Watchers: 3
• Forks: 1
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE.md

Awesome Lists containing this project

README

        
# Efficient Graph-Based Image Segmentation

This repository contains a Rust implementation of the graph-based image segmentation algorithms

described in `[1]` (available [here](http://cs.brown.edu/~pff/segment/)) 

focussing on generating over-segmentations, also referred to as superpixels.

| Contours                 | Labels                 |

|--------------------------|------------------------|

| ![](images/contours.jpg) | ![](images/labels.jpg) |

Please note that this is a reference implementation and not particularly fast.

```

[1] P. F. Felzenswalb and D. P. Huttenlocher.

    Efficient Graph-Based Image Segmentation.

    International Journal of Computer Vision, volume 59, number 2, 2004.

```

The implementation is based on [this work](https://github.com/davidstutz/graph-based-image-segmentation) by David Stutz,

which in turn was used in `[2]` for evaluation.

```

[2] D. Stutz, A. Hermans, B. Leibe.

    Superpixels: An Evaluation of the State-of-the-Art.

    Computer Vision and Image Understanding, 2018.

```

## Example use

```rust

fn main() {

    let mut image = imread("data/tree.jpg", IMREAD_COLOR).unwrap();

    let threshold = 10f32;

    let segment_size = 10;

    let mut segmenter = Segmentation::new(

        EuclideanRGB::default(),

        MagicThreshold::new(threshold),

        segment_size,

    );

    // NOTE: The image should be blurred before use; this is left out here for brevity.

    let labels = segmenter.segment_image(&image);

}

```