Discover how to perform image segmentation using Python, OpenCV, and K-means clustering.
In this tutorial, you’ll discover how to divide an image into multiple segments or regions based on certain criteria, and extract useful insights from the image.
You’ll learn how to apply K-means clustering to an image, and how to adjust the number of clusters to change the segmentation results.
Whether you’re interested in object detection, tracking, or recognition, this tutorial is an essential resource for anyone working with images.
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Before we continue , I actually recommend this book for deep learning based on Tensorflow and Keras : https://amzn.to/3STWZ2N
You can find more similar tutorials in my blog posts page here : https://eranfeit.net/blog/
Check this tutorial: https://youtu.be/a2Kti9UGtrU&list=UULFTiWJJhaH6BviSWKLJUM9sg
Enjoy
Eran