Image Processing using OpenCV

Description

The Image Processing and Computer Vision world are too big to comprehend. It has been the backbone of many industries including Deep Learning. It is used across multiple places. This course is a practical approach in explaining computer vision concepts using the image and video processing library OpenCV.

Objective

  • Image Processing and Computer Vision with OpenCV
  • Face, feature and object detection with OpenCV
  • Learn how to use different tools of image filtering with the OpenCV library

Contents

  • Image fundamentals
  • Intro to OpenCV library
  • Image processing
  • Image filtering
  • Image matching
  • Feature detection
  • Video analysis

Prerequisites

Basics in Python

Instructor

Eng. Mohamed Reda

Course length

About 6 sessions,
Each session is 3 hours

Fees

Members: 110
Non-members: 120

© IEEE SSCS Alexandria Student Chapter 2019–2020