Скачать или смотреть Computer Vision| Image Processing Part 2: Edges, Filters, and Convolution Explained!

Welcome back to our Computer Vision series! In Part 2, we unravel the fascinating world of image processing, focusing on what happens at the edges during simple neighborhood operations. Learn how image filtering works, what correlation and convolution really mean, and how linear filters transform images. We’ll also explore sharpening techniques, the magic of the Gaussian kernel, fundamental methods of edge detection, image derivatives, and the powerful Sobel operator.

Whether you’re a beginner or looking to deepen your understanding, this video is packed with clear explanations and practical insights into the core concepts of computer vision.

Timestamps:

00:00 Introduction
04:10 Image Filtering Basics
17:37 Strange Things at Image Edges
31:30 Correlation & Convolution
44:48 Linear Filters
48:17 Gaussian Kernel
56:00 Sharpening
59:12 Edge Detection
01:02:55 Image Derivatives
01:15:15 Sobel Operator

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