https://github.com/roma-glushko/image-color-clustering

https://github.com/roma-glushko/image-color-clustering

clustering-algorithm image-processing ipython-notebook kmeans-clustering machine-learning python3

Last synced: 6 months ago
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• Host: GitHub
• URL: https://github.com/roma-glushko/image-color-clustering
• Owner: roma-glushko
• Created: 2020-07-26T20:02:54.000Z (about 5 years ago)
• Default Branch: master
• Last Pushed: 2023-10-03T22:05:07.000Z (about 2 years ago)
• Last Synced: 2025-02-12T11:53:52.284Z (8 months ago)
• Topics: clustering-algorithm, image-processing, ipython-notebook, kmeans-clustering, machine-learning, python3
• Language: Jupyter Notebook
• Homepage:
• Size: 1.58 MB
• Stars: 1
• Watchers: 3
• Forks: 0
• Open Issues: 2
• Metadata Files:
  • Readme: README.MD

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README

          
# Image Color Clastering

Project uses K-mean clustering algorithm to apply popart-like effect: image colors are being clustered which helps to simplify color pallete on the image.

Parameter K in K-mean algorightm defines how many colors should be used in order to simplify the image.

## Examples

### Example1. Moon (Credits)

| Clusters | 2 | 4 | 10 | 36 | Original |

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

| Results   |   |   |   |   |  |

### Example2. Tibidabo Amusement Park, Spain (Credits)

| Clusters | 2 | 3 | 4 | 16 | Original |

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

| Results   |  |  |  |  |  |

### Example3. Street Lights (Credits)

| Clusters | 2 | 3 | 4 | Original |

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

| Results   |  |  |  |  |