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Image-segmentation-using-K-means

Image Segmentation using K-Means This project demonstrates image segmentation using the K-Means algorithm. The goal of image segmentation is to partition an image into multiple segments, each of which corresponds to a different object or part of the scene. K-Means is a popular clustering algorithm that can be used to segment images by grouping similar pixels together.

Built With


Python - Programming Language
NumPy - Package for scientific computing with Python
OpenCV - Library for computer vision tasks
Matplotlib - Library for visualization

Author

Brihat Sharma

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image segmentation using K-Means

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