Efficient Graph-Based Image Segmentation

This repository contains a Rust implementation of the graph-based image segmentation algorithms described in [1] (available here) focussing on generating oversegmentations, also referred to as superpixels.

[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 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);

} ```