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felzenszwalb_segmentation

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Python implementation of Efficient Graph-Based Image Segmentation

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# Felzenszwalb Segmentation

Implementation of [Efficient Graph-Based Image Segmentation](http://people.cs.uchicago.edu/~pff/papers/seg-ijcv.pdf) by Pedro F. Felzenszwalb from Artificial Intelligence Lab, Massachusetts Institute of Technology and Daniel P. Huttenlocher from Computer Science Department, Cornell University. In this case, instead of treating image segmentation as a pixel-wise classification problem, it is defined as the task of partitioning a given image into a set of disjoint regions usually with a goal of simplifying the representation of the image into something that is more meaningful and easier to analyze.

**Article:** [Efficient Graph-Based Image Segmentation](https://soumik12345.github.io/geekyrakshit-blog/algebra/computervision/convolution/maths/python/2020/09/17/efficient-graph-based-image-segmentation.html)

## Usage

Install using `pip install felzenszwalb-segmentation`.

```python
from felzenszwalb_segmentation import segment

segmented_image = segment(in_image, sigma, k, min_size)
```

## Results

![](https://raw.githubusercontent.com/soumik12345/felzenszwalb_segmentation/master/assets/sample_1.png)
![](https://raw.githubusercontent.com/soumik12345/felzenszwalb_segmentation/master/assets/sample_2.png)
![](https://raw.githubusercontent.com/soumik12345/felzenszwalb_segmentation/master/assets/sample_3.png)
![](https://raw.githubusercontent.com/soumik12345/felzenszwalb_segmentation/master/assets/sample_4.png)

felzenszwalb_segmentation

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