Date: Tue, 22 Feb 2022 00:00:49 +0000
<p>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. </p> <div><a href="https://dataskeptic.com/blog/episodes/2022/k-means-image-segmentation" rel="noopener" target="_blank"><strong>Check out our website for extended show notes and images!</strong></a><br /> <br /></div> <div><strong>Thanks to our Sponsors:</strong></div> <div>Visit <a href="https://wandb.me/dataskeptic" rel="noopener" target="_blank">Weights and Biases</a> mention Data Skeptic when you request a demo!</div> <div>&<br /> <a href="https://www.nomad-data.com/" rel="noopener" target="_blank">Nomad Data</a> <br /> <br /> 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. <p><img alt="Lilac Crowned Amazon" src="https://s3.amazonaws.com/dataskeptic.com/images/2022/segmented-yoshi.png" /></p> </div> <div> </div>
