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A Quick and Easy Intro into Computer Vision

What you will learn

Become an advanced, confident, and modern Computer Vision expert from scratch

Computer Vision fundamentals: digital image, discretization and quantification, color spaces, etc.

How to think and work like a developer: problem-solving, researching, workflows

Gray level Transformations

Get fast and friendly support in the Q&A area

Practice your skills with challenges and assignments (solutions included)

Description

Do you want to start your journey in Computer Vision?

Or is it that Computer Vision interests you?

If you need a quick brush-up, or learning Computer Vision for the first time, you’ve come to the right place!

Let’s get started learning one of the most interesting computer science topics out there right now. There’s no need to fret if you haven’t coded before. This courses starts from scratch.


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Computer Vision is an interdisciplinary scientific field that deals with how computers can gain high-level understanding from digital images or videos. From the perspective of engineering and computer science, it seeks to understand and automate tasks that the human visual system can do. This course will be a quick way to introduce to the Computer Vision world. You’ll be a whiz in no time.

We’ll begin with the basics of Computer Vision, learning about the digital image, discretization, domains and getting to know the image quantification. We’ll soon move on to the basics of image information retrieval in Computer Vision.

Now, after completing this Introduction Course you can finish your training with The Complete Computer Vision Course available in my udemy profile with more than 12 hours duration.

I hope you’re excited to dive into the World of Computer Vision with this course. Well, what are you waiting for? Let’s get started!

English
language

Content

IntroducciΓ³n

Introduction to the Course
Working in MATLAB

The Digital Image

Basic Concepts
Discretization of the Image
Working with Images
Domain Evaluation
How to Save an Image
Mesh Function

Image Quantification

Introduction to Colour Quantification
RGB and HSI Models

Image Preprocessing

Introduction to Image Preprocessing
Image Information Retrieval
Gray Level Histogram
Histogram Equalization