Extract Dominant Colors from Any Image using K-Means | Python & OpenCV
🎨 Extracting Dominant Colors from an Image using K-Means Clustering | Python & OpenCV
In this video, we build a Dominant Color Extraction system using K-Means clustering from scratch! 🚀
You’ll learn how to analyze an image, group similar pixels, and visually represent the most dominant colors present in it.
This project is perfect for anyone interested in Computer Vision, Image Processing, or Machine Learning basics.
🔍 What You’ll Learn
✅ How K-Means clustering works for images
✅ Converting images into pixel feature vectors
✅ Finding dominant RGB colors from an image
✅ Creating a color histogram using cluster labels
✅ Visualizing color distribution using OpenCV
✅ Displaying results with Matplotlib
🛠️ Technologies Used
Python 🐍
OpenCV (cv2)
NumPy
Scikit-Learn (KMeans)
Matplotlib
📌 Use Cases
Image analysis & segmentation
Color palette generation
UI/UX design inspiration
Computer Vision projects
Machine Learning fundamentals
💻 GitHub Code
🔗 GitHub Repository:
👉 https://github.com/NitinCVOrbit/Extra...
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