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University of Central Florida

Image Filtering in Computer Vision - Part II - Lecture 5

University of Central Florida via YouTube

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Overview

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This lecture explains image filtering through derivatives, mean and weighted mean filters, Gaussian smoothing, noise, box and median filters, Sobel filtering, and padded edges.

Syllabus

Introduction
Derivative
Derivative Example
Question
Mean and Weighted Mean
Examples
Gaussian smoothing
Gaussian noise
Box filter
Box filter example
Sobel filter
Filter properties
Medium filter
Median filter
Gaussian filter
Padded edges

Taught by

UCF CRCV

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