Ever wondered how robots sharpen images, detect edges, or smooth out noisy data? It all starts with spatial filtering, and at the heart of it is convolution! Spatial filtering helps robots and computers "understand" images by enhancing important features and suppressing irrelevant noise.
In this video, we’ll cover:
✅ What spatial filtering is and how convolution works in image processing
✅ Common filters: smoothing (blur), sharpening, edge detection, and more
✅ How robots use spatial filters for perception, navigation, and decision-making
We’ll also dive into how different kernels (like Sobel and Gaussian) shape the output—and how convolution acts like a sliding window to transform images pixel by pixel!
Whether you're new to robotics or an AI enthusiast, this video will give you a clear and fun introduction to the world of robots!
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