Traitement d'images : introduction au filtrage

סקירה כללית

Explore the World of Image Processing with Our Introduction to Filtering MOOC

Dive into the interdisciplinary field of image processing that spans mathematics, physics, and computer science. From production lines to medical scanners and satellites, images are pivotal in extracting prevalent information today.

They must be processed to overcome poor acquisition conditions, isolate relevant objects, and analyze them.

This MOOC, offered by Institut Mines-Télécom and available on Coursera, delves into essential treatments such as filtering, enhancement, and noise reduction. These processes form the foundation of analysis chains used in medical imaging diagnostics, defect detection in production lines, and license plate recognition in traffic radars.

Participants will learn the necessary mathematical and computer science basics using Python.

The course covers how to handle image processing algorithms and programming including loading and observing an image, assessing its quality, enhancing sharpness and contrast, adding blur, and detecting edges.

Prerequisites for this course include knowledge of Python programming fundamentals like loops, logical operators, operation vectorization, function definition, arrays, and numpy.

Successfully completing the course and achieving a score above 50% will earn participants a certificate of completion from Coursera, courtesy of the Patrick & Lina Drahi Foundation's support.

Categories:

Computer Vision Courses.

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נלמד על ידי

Vincent Mazet and Yann Gavet

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נושאים