Traitement d'images : introduction au filtrage from Coursera

Ce MOOC sur le traitement d'images est à l’intersection de plusieurs domaines scientifiques et techniques : les mathématiques, la physique, l’informatique.

De la ligne de fabrication jusqu’au scanner médical en passant par les satellites. Les images nous servent à extraire des informations omniprésentes aujourd’hui. Elles doivent être systématiquement traitées pour s’affranchir des mauvaises conditions d’acquisition, afin d’isoler les objets pertinents et de les analyser.

Les traitements présentés (filtrage , rehaussement, suppression du bruit) sont le point de départ de la chaîne d’analyse. Ils permettent par exemple le relevé des diagnostics en imagerie médicale, la détection de pièce défectueuse sur une ligne de production ou encore la reconnaissance des plaques d’immatriculation sur les radars.

Dans ce MOOC, vous prendrez connaissance des bases nécessaires en mathématiques et en informatique avec le langage Python. Vous apprendrez à manipuler les algorithmes et la programmation des opérations élémentaires du traitement d’images : charger et observer une image, analyser sa qualité, améliorer sa netteté et ses contrastes, ajouter du flou ou détecter des contours.

Pour suivre ce cours, des bases du langage de programmation Python sont nécessaires : boucles, opérateur logique, vectorisation des opérations , définition de fonction, tableaux et numpy.

Une attestation de suivi avec succès est attribuée par Coursera aux apprenants réussissant à obtenir une note supérieure à 50 %.

Ce cours a été créé avec le soutien de la Fondation Patrick & Lina Drahi.

What's inside

Syllabus

Présentation et objectifs du MOOC

Se familiariser avec les outils du mooc

Contexte et champs d’application, historique et bases mathématiques

Filtrage par convolution, détecteurs de contours

Filtrage par convolution, détecteurs de contours.

Rehaussement, manipulation d’histogramme

Traitement du bruit

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Taught by Gavet and Mazet, who are recognized for their work in image processing

Develops image processing skills that are core skills for computer vision

Examines computer vision, which is highly relevant to various industries

Provides a strong foundation for beginners to learn image processing

Prerequisites are required, which may be inconvenient for some learners

Includes and interactive materials, such as quizzes and assignments

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Traitement d'images : introduction au filtrage with these activities:

Review Python basics

Show steps

Refresh your knowledge of Python with the basics of loops, operators, and functions. This will provide a strong foundation for the course.

Show steps

Go through a Python 101 online tutorial.
Set up programming environment on a local machine.
Create a few basic projects.

Review Python programming concepts

Show steps

Refresh your understanding of basic Python programming concepts to build a stronger foundation for this course.

Browse courses on Python

Show steps

Review the official Python tutorial
Solve coding challenges on LeetCode or HackerRank

Complete the Python NumPy tutorial

Show steps

Enhance your understanding of NumPy, a key library for data manipulation and analysis in Python, which will be used extensively in this course.

Browse courses on NumPy

Show steps

Follow the official NumPy tutorial
Practice using NumPy functions for data operations

Eight other activities

Expand to see all activities and additional details

Show all 11 activities

Learn about image processing techniques

Show steps

Explore online tutorials on image processing techniques like filtering and noise reduction to gain a deeper understanding of the concepts discussed in the course.

Browse courses on Convolution

Show steps

Find tutorials on specific image processing techniques.
Follow along with the tutorials, implementing the techniques.
Apply the techniques to sample images.

Create a cheat sheet of basic image processing algorithms

Show steps

Solidify your understanding of image processing algorithms by creating a concise cheat sheet that summarizes the key concepts and formulas.

Browse courses on Image Processing

Show steps

Review the course syllabus and materials
Identify the most important image processing algorithms
Summarize the steps and key formulas for each algorithm

Complete coding exercises

Show steps

Sharpen your coding skills by solving coding exercises and challenges in Python related to image processing concepts.

Browse courses on Python Programming

Show steps

Find online coding challenges or exercises.
Solve the challenges using Python.
Review solutions and learn from other approaches.

Practice image editing using OpenCV

Show steps

Gain hands-on experience with image processing by completing coding drills using the OpenCV library, which will be used in the course projects.

Browse courses on Image Editing

Show steps

Install OpenCV and set up a development environment
Follow tutorials or complete online challenges
Experiment with image manipulation and processing techniques

Mentor other students

Show steps

Reinforce your understanding by helping other students in the course through discussions, forums, or study sessions.

Show steps

Identify opportunities to assist fellow learners.
Prepare and share your knowledge.
Engage in discussions and provide guidance.

Attend a workshop on advanced image processing techniques

Show steps

Expand your knowledge and skills by attending a workshop that delves into advanced image processing techniques, such as machine learning and deep learning.

Browse courses on Image Processing

Show steps

Research and identify relevant workshops
Register for and attend the workshop
Actively participate and engage with the instructors and attendees

Contribute to open-source image processing projects

Show steps

Contribute to open-source projects related to image processing. This not only further your knowledge but also helps the community.

Browse courses on Machine Learning Algorithms

Show steps

Find open-source projects to work on.
Identify areas where you can make a contribution.
Submit code or documentation patches.

Develop a prototype image processing application

Show steps

Test your skills and push your knowledge by building a prototype image processing application that solves a specific problem or performs a desired function.

Browse courses on Image Processing

Show steps

Define the problem or function of the application
Design the user interface and functionality
Implement the image processing algorithms
Test and refine the application

Career center

Learners who complete Traitement d'images : introduction au filtrage will develop knowledge and skills that may be useful to these careers:

Image Processing Engineer

Image Processing Engineers use image processing techniques to analyze and modify images. The skills you will learn from this course, Traitement d'images : introduction au filtrage, are highly valuable for this career. It will help you build the foundational skills necessary to enter this field.

See salaries and explore the career path for Image Processing Engineer

Computer Vision Engineer

This course, Traitement d'images : introduction au filtrage, can help you build a foundation in computer vision, a rapidly growing field that combines image processing skills with artificial intelligence. Computer Vision Engineers design, develop, and maintain computer vision systems, and will find this course helpful for developing entry-level skills.

See salaries and explore the career path for Computer Vision Engineer

Computational Photographer

Computational Photographers develop and apply computational techniques to improve the quality of digital photographs and videos. This course, Traitement d'images : introduction au filtrage, will help you develop skills that will make you a valuable asset as a Computational Photographer, giving you foundational knowledge in image processing, which is at the core of this role.

See salaries and explore the career path for Computational Photographer

Motion Graphics Designer

Motion Graphics Designers combine text, images, audio, and video to create animated visuals that can be used for a variety of purposes, such as commercials, presentations, and social media posts. Image processing is often used by Motion Graphics Designers, and this course, Traitement d'images : introduction au filtrage, can help build foundational skills.

See salaries and explore the career path for Motion Graphics Designer

Software Engineer

Software Engineers are responsible for designing, developing, testing, and maintaining software systems. With the knowledge gained from this course, Traitement d'images : introduction au filtrage, you will be able to develop software using image processing skills that can help you enter this in-demand career field.

See salaries and explore the career path for Software Engineer

Photo Editor

Photo Editors enhance and manipulate digital images. This course, Traitement d'images : introduction au filtrage, will help you develop skills that will make you a valuable asset as a Photo Editor, giving you foundational knowledge in image processing and editing software.

See salaries and explore the career path for Photo Editor

Web Designer

Web Designers create and maintain websites. They use image processing techniques to optimize images for the web, ensuring that they load quickly and look their best. This course, Traitement d'images : introduction au filtrage, can help you develop the skills you need to enter the field of Web Design.

See salaries and explore the career path for Web Designer

Machine Learning Engineer

As a Machine Learning Engineer, you will design, develop, and deploy machine learning models and systems. These models allow computers to learn without being explicitly programmed, and are used across all industries. This course, Traitement d'images : introduction au filtrage, will help you develop skills in machine learning, a highly in-demand specialization.

See salaries and explore the career path for Machine Learning Engineer

Forensic Image Analyst

As a Forensic Image Analyst, you will analyze digital images and videos as evidence in criminal cases. Working in law enforcement, you will need to have excellent image processing skills, which you can develop with the help of this course, Traitement d'images : introduction au filtrage.

See salaries and explore the career path for Forensic Image Analyst

Medical Image Analyst

Medical Image Analysts analyze medical images to help doctors diagnose and treat patients. As a Medical Image Analyst, you will need skills in image processing. This course, Traitement d'images : introduction au filtrage, can provide you with the skills you need.

See salaries and explore the career path for Medical Image Analyst

Graphic designer

Graphic Designers create visual concepts, using computer software or by hand, to communicate ideas that inspire, inform, and captivate consumers. As a Graphic Designer, you will use image processing as a part of your daily tasks. This course, Traitement d'images : introduction au filtrage, will help you build a foundation of knowledge about image processing that will be valuable to this career.

See salaries and explore the career path for Graphic designer

Quality Control Inspector

Quality Control Inspectors ensure that products meet quality standards. This course, Traitement d'images : introduction au filtrage, can help you develop the image processing skills you need to succeed as a Quality Control Inspector.

See salaries and explore the career path for Quality Control Inspector

Data Scientist

Data Scientists use scientific methods, processes, algorithms, and systems to extract knowledge and insights from data to develop solutions and make informed decisions. With the data analysis skills you gain from this course, Traitement d'images : introduction au filtrage, you will be able to extract important insights and help organizations leverage their data for profitable outcomes.

See salaries and explore the career path for Data Scientist

Data Analyst

The knowledge you will gain from this course, Traitement d'images : introduction au filtrage, will provide you with the foundational skills needed to succeed as a Data Analyst. As a Data Analyst, you will be responsible for interpreting data to uncover trends and patterns, which can be essential for businesses across all industries. This course will help build the data analysis skills that are in high demand.

See salaries and explore the career path for Data Analyst

User Interface Designer

User Interface (UI) Designers create the look and feel of digital interfaces, such as websites and mobile apps. As a UI Designer, you will use image processing as a part of your daily tasks. This course, Traitement d'images : introduction au filtrage, may be of use to you as a UI Designer, providing you with some knowledge of this skill that every UI Designer should have.

See salaries and explore the career path for User Interface Designer