k-means Image Segmentation
Podcast |
Data Skeptic
Publisher |
Kyle Polich
Media Type |
audio
Categories Via RSS |
Mathematics
Science
Technology
Publication Date |
Feb 22, 2022
Episode Duration |
00:23:01

Linh Da joins us to explore how image segmentation can be done using k-means clustering.  Image segmentation involves dividing an image into a distinct set of segments.  One such approach is to do this purely on color, in which case, k-means clustering is a good option. 

Thanks to our Sponsors:
Visit Weights and Biases mention Data Skeptic when you request a demo!
& data.com/">Nomad Data  In the image below, you can see the k-means clustering segmentation results for the same image with the values of 2, 4, 6, and 8 for k.

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Linh Da joins us to explore how image segmentation can be done using k-means clustering.  Image segmentation involves dividing an image into a distinct set of segments.  One such approach is to do this purely on color, in which case, k-means clustering is a good option. 

Check out our website for extended show notes and images! Thanks to our Sponsors: Visit Weights and Biases mention Data Skeptic when you request a demo! & data.com/">Nomad Data  In the image below, you can see the k-means clustering segmentation results for the same image with the values of 2, 4, 6, and 8 for k.

 

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