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Complete Guide to Image Processing with MATLAB (Udemy.com)

Understand the Theory of Image Processing, apply it in MATLAB, and design a GUI to interface it!

Created by: Fawaz Sammani

Last updated September 2024

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What you will learn

  • Have a solid understanding on the basics of Image Processing in MATLAB
  • Create a complete Graphical User Interface that includes most of the basic Image Processing Concepts
  • Understand most of the important concepts in a friendly manner!

How it compares

Against the other 1,182 rated Udemy courses in IT & Software on CourseDuck:

  • Rating4.3 out of 5higher than 20% of them
  • Reviews259#757 of 1,183 by number of reviews
  • Length3.8 hoursshorter than 63% of them
  • Last updatedSeptember 2024earlier than 62% of them

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Course Description

This course focuses on delivering the basics of Image Processing in MATLAB. 

The course also provides explanations to the theories.

You'll learn various tutorials, including:

  • Image Operations

  • Image Histograms

  • Image Filtering 

  • Image Thresholding

  • Edge Detection in MATLAB

  • Image Morphology 

  • Local Binary Patterns

  • Practical Examples 

  •  At the end, all what you have learned and more will be compiled and we you learn how to interface them in a Graphical User Interface (GUI) in MATLAB

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You will also get access to files that explain some theoretical concepts in a friendly-manner that will make you grasp the idea very quick! 

Finally, there will be some practices after some of the lectures to test your understanding and see how good you can apply the concepts you learned to come up with new ideas! 

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Instructor Details

Fawaz Sammani

I am a researcher doing my research in Computer Vision. Through out my research period, i have achieved many of my research goals and published multiple research papers. I have three courses, one which provides a complete guide to Image Processing with MATLAB, where you will master the basics of Image Processing and build interfaces for them,  another course which is a complete guide to Neural Networks, where you'll master neural networks and deep learning topics in depth both theoretically and practically in one of the most powerful deep learning frameworks! I am extremely happy to share my knowledge and experience throughout my courses! 

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Reviews

4.3

259 ratings on Udemy

Select a bar to show only those reviews.Select the bar again to show every rating.

By Ayuba Shehu on 7/12/2022

I wish to express my appreciation for the course as the methodology used is quite impressive. I am enjoying every bit of it. Thank you so much. Ayuba Shehu

By Safia Kousar on 6/4/2022

Just what I was looking for!. I am familiar with imaging concepts and I wanted to know the MATLAB commands to carry out image processing. This course provided a good overview on the same. Thank you!

By Suma on 10/11/2020

It was a interesting session..has covered all the basics related to image processing

By Yasasween Hewavidana on 6/3/2020

This is a good course to grab the basic stage of the Digital Image Processing using Matlab.

By Jesus Sanchez on 9/12/2019

Excelente explicacion, para personas que aprendiendo sobre procesamiento de imagenes y buena herramienta que te ofrece al final, es un buen curso gracias y saludos!

By Boman Ali Arifi on 2/5/2019

I appreciate his effort but I was looking to do something productive not only few commands

By Burhan Türkoğlu on 10/13/2018

if he trying more dedection mode for image processing is better than for be,but he trying good skill

By Batool Khader on 9/29/2018

So far it seems to be a very good and useful course , but if the teacher can slow down a little and write down comments on the screen for each function and what it does. Also, if he knows websites where we can get more functions of image display, he can put them in the course page.

By Amanda LIMA SANTOS on 8/22/2018

Adorei! Só achei desnecessário toda aula usar imread e rgb2gray, o curso se tornaria mais ágil fazendo um ctrl+c ctrl+v disso.

By Diego Cabrera on 6/21/2018

Ideal para principiantes como yo en el procesamiento de imagenes

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Overall Score : 86 / 100