Learn Image Processing like Engineers do ! | Online Course

Learn Image Processing like Engineers do ! | Online Course, available at $19.99, has an average rating of 3.15, with 67 lectures, based on 56 reviews, and has 362 subscribers.

You will learn about Digital image processing MATLAB Understand how some softwares and apps work ! Necessary knowledge to build and sell DIP softwares or plugins Bring your ideas to life training through our projects Use this knowledge and launch your own startup ! This course is ideal for individuals who are Engineering students or Scientists or High-tech startups Entrepreneurs or Programmers or Interested in Artificial intellegence (image processing topic) or Anyone eager to learn ! It is particularly useful for Engineering students or Scientists or High-tech startups Entrepreneurs or Programmers or Interested in Artificial intellegence (image processing topic) or Anyone eager to learn !.

Enroll now: Learn Image Processing like Engineers do ! | Online Course

Summary

Title: Learn Image Processing like Engineers do ! | Online Course

Price: $19.99

Average Rating: 3.15

Number of Lectures: 67

Number of Published Lectures: 65

Number of Curriculum Items: 67

Number of Published Curriculum Objects: 65

Original Price: $189.99

Quality Status: approved

Status: Live

What You Will Learn

Digital image processing
MATLAB
Understand how some softwares and apps work !
Necessary knowledge to build and sell DIP softwares or plugins
Bring your ideas to life training through our projects
Use this knowledge and launch your own startup !

Who Should Attend

Engineering students
Scientists
High-tech startups Entrepreneurs
Programmers
Interested in Artificial intellegence (image processing topic)
Anyone eager to learn !

Target Audiences

Engineering students
Scientists
High-tech startups Entrepreneurs
Programmers
Interested in Artificial intellegence (image processing topic)
Anyone eager to learn !

Digital images are everywhere these days – in thousands of scientific (e.g., astronomical, bio-medical), consumer, industrial, and artistic applications. Moreover they come in a wide range of the electromagnetic spectrum – from visible light and infrared to gamma rays and beyond. The ability to process image signals is therefore an incredibly important skill to master for engineering/science students, software developers, and practicing scientists.�

Image processing is the analysis and manipulation of a digitized image using mathematical modeling in oder to improve its quality . In the last few years, there has been a revolution in the image processing field especially when A.I was involved giving birth to a lot of new startups that will shape our near future ! .Some billion dollars companies are already doing so like Snapchat and other sillicon valley startups… .

This course will cover the fundamentals of image and video processing. We will provide a mathematical framework to describe and analyze images and videos as two-dimensional signals in the spatial and frequency domains.�

In this class not only will you learn the theory behind fundamental processing tasks including image enhancement, filtering, and image compression – but you will also learn how to perform these key processing tasks in practice using state-of-the-art techniques and tools.Like the image processing toolbox provided by MATLAB.

We have found that working on projects and solving problem sets is the most effective method to learn image processing. The theory (barring advanced topics) is basically discrete math; it can be looked up easily on the Internet. Intuition and mental visualization of algorithms are very important, and they come only through experience and that is exactly what we are offering you through our learning system !.

All lectures are equipped with manually generated & high qualityclosed captions in English and new languages are going to be added soon to help you learn with your native language !

if you are a beginnerin the image processing field ,this is your chance to get the necessary concepts in this business.We will be using the MATLAB software in order to complete all of our projects and applications but you don’t have to worry because we have a solution for the software inside the course .

Course Curriculum

Chapter 1: Introduction

Lecture 1: Introduction

Lecture 2: Matrices

Lecture 3: Arithmetic Ops.

Lecture 4: Concept of an image in digital computers

Lecture 5: How powerful is Matlab ?

Lecture 6: No Matlab ? ,No Problem ! ( FREE SOLUTION )

Chapter 2: Sampling and Quantization

Lecture 1: Sampling – Better understanding with 1D signals case

Lecture 2: Aliasing

Lecture 3: Qunatization I

Lecture 4: Quantization II

Lecture 5: Quantization error

Lecture 6: How an image is represented on a computer

Chapter 3: Basics

Lecture 1: Reading images

Lecture 2: Displaying images

Lecture 3: Writing images

Lecture 4: Image classes

Lecture 5: Matlab functions

Lecture 6: Converting between classes

Chapter 4: Getting started with DIP

Lecture 1: Array indexing

Lecture 2: Project 1

Lecture 3: Drawing shapes

Lecture 4: Project 2 – wowface

Chapter 5: Intensity Transformations

Lecture 1: Intensity Transformations

Lecture 2: Contrast stretching

Lecture 3: Image scaling

Lecture 4: Project 3 – Zooming project

Chapter 6: Histogram processing

Lecture 1: Histogram processing

Lecture 2: Histogram equalization

Lecture 3: Adaptive histogram

Lecture 4: Histogram of colored images

Chapter 7: Spatial filtering

Lecture 1: Spatial filtering

Lecture 2: Mechanism of spatial filtering

Lecture 3: Non linear spatial filtering

Lecture 4: Contra-Harmonic Mean filter

Lecture 5: Project 4 – Blur license plates

Lecture 6: The laplacian mask

Chapter 8: Frequency filtering

Lecture 1: Introduction to frequency filtering

Lecture 2: Programming the DFT

Lecture 3: Example of DFT on a signal

Lecture 4: Logarithmic transformations

Lecture 5: Computing and visualizing the 2D DFT

Lecture 6: Convolution theorem – part I

Lecture 7: Convolution theorem – part II

Lecture 8: Padding vs No padding – part I

Lecture 9: Padding vs No padding – part II

Lecture 10: Fundamental steps in DFT filtering

Lecture 11: Obtaining frequency filters from spatial filters – part I

Lecture 12: O.F.F.S.F – part II (Edge Detection)

Lecture 13: Lowpass filters

Lecture 14: Highpass filters

Lecture 15: Highpass filters – Application

Lecture 16: High frequency emphasis

Lecture 17: High frequency emphasis – Application

Lecture 18: Bandpass & Bandreject filters

Lecture 19: Bandpass & Bandreject filters – Application

Lecture 20: Hybrid images

Lecture 21: Project 5 – Albert Einstein and Marlyn Monroe anecdote

Chapter 9: Geometric operations

Lecture 1: Geometric operations – Introduction

Lecture 2: Scaling

Lecture 3: Shrinking

Lecture 4: Local neighborhood Algorithm

Lecture 5: Rotation

Lecture 6: Rotation – Application

Lecture 7: Reflection

Lecture 8: Reflection – reconstruction of an animal's face

Instructors

Mohamed Elatoubi
Arizona State University Graduate | Online Instructor

Rating Distribution

1 stars: 5 votes
2 stars: 6 votes
3 stars: 11 votes
4 stars: 15 votes
5 stars: 19 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!

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