Coursera

Introduction to Computer Vision (Coursera)

Offered by MathWorks,

In the first course of the Computer Vision for Engineering and Science specialization, you’ll be introduced to computer vision. You'll learn and use the most common algorithms for feature detection, extraction, and matching to align satellite images and stitch images together to create a single image of a larger scene.

Class Deals by MOOC List - Click here and see Coursera's Active Discounts, Deals, and Promo Codes.

Features are used in applications like motion estimation, object tracking, and machine learning. You’ll use features to estimate geometric transformations between images and perform image registration. Registration is important whenever you need to compare images of the same scene taken at different times or combine images acquired from different scientific instruments, as is common with hyperspectral and medical images.
You will use MATLAB throughout this course. MATLAB is the go-to choice for millions of people working in engineering and science, and provides the capabilities you need to accomplish your computer vision tasks. You will be provided free access to MATLAB for the course duration to complete your work.
To be successful in this course, it will help to have some prior image processing experience. If you are new to image data, it’s recommended to first complete the Image Processing for Engineering and Science specialization.
This course is part of the following programs:

What you'll learn

Use common algorithms for feature detection, extraction, & matching
Perform image registration by identifying control points & estimating geometric transformations
Complete a final project where you stitch together images from NASA’s Mars Curiosity Rover
Combine images with image stitching to create panorama images

Syllabus

WEEK 1: Introduction to Features
WEEK 2: Working With Features
WEEK 3: Image Registration
WEEK 4: Image Stitching

Go to Class

MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Related Courses

Coursera

Columbia University

Features and Boundaries (Coursera)

Statistics & Data Analysis Data Science

This course focuses on the detection of features and boundaries in images. Feature and boundary detection is a critical preprocessing step for a variety of vision tasks including object detection, object recognition and metrology – the measurement of the physical dimensions and other properties of objects. The course presents a variety of methods for detecting features and boundaries and shows how features extracted from an image can be used to solve important vision tasks.

Nov 2nd 2026

5-12 Weeks

Computer Vision Metrology Coursera Plus

Coursera

Stanford University

Machine Learning (Coursera)

Statistics & Data Analysis Data Science

Machine learning is the science of getting computers to act without being explicitly programmed. In the past decade, machine learning has given us self-driving cars, practical speech recognition, effective web search, and a vastly improved understanding of the human genome. Machine learning is so pervasive today that you probably use it dozens of times a day without knowing it. Many researchers also think it is the best way to make progress towards human-level AI. In this class, you will learn about the most effective machine learning techniques, and gain practice implementing them and getting them to work for yourself. More importantly, you'll learn about not only the theoretical underpinnings of learning, but also gain the practical know-how needed to quickly and powerfully apply these techniques to new problems.

Nov 2nd 2026

5-12 Weeks

Artificial Intelligence MATLAB Algorithms

Coursera

DeepLearning.AI

AI and Disaster Management (Coursera)

Data Science

In Course 3, AI and Disaster Management, you will begin by learning how natural disasters create both short and long-term impacts on the economy, environment, and community. You will learn how the disaster management cycle can be used to reduce the impacts of a disaster and guidelines for how you can engage in disaster-related projects.

Nov 2nd 2026

3 Weeks

Artificial Intelligence Natural Disasters Computer Vision

Coursera

Instituto Tecnológico de Aeronáutica

Introdução ao Controle Moderno (Coursera)

Engineering Sci: Physics

Este curso lhe dará a base necessária para entender técnicas mais avançadas de controle moderno. Você aprenderá como representar a dinâmica de um sistema no espaço de estados, como analisar um sistema no espaço de estados, como projetar uma realimentação de estado e como projetar um observador de estado.

Nov 16th 2026

5-12 Weeks

MATLAB Modeling Electrical Engineering

Coursera

Columbia University

Camera and Imaging (Coursera)

CS: Software Engineering Computer Science

This course covers the fundamentals of imaging – the creation of an image that is ready for consumption or processing by a human or a machine. Imaging has a long history, spanning several centuries. But the advances made in the last three decades have revolutionized the camera and dramatically improved the robustness and accuracy of computer vision systems. We describe the fundamentals of imaging, as well as recent innovations in imaging that have had a profound impact on computer vision.

Nov 2nd 2026

5-12 Weeks

Image Computer Vision Image Processing

Coursera

Arizona State University

Introduction to Machine Learning with Python (Coursera)

CS: Software Engineering CS: Programming

This course will give you an introduction to machine learning with the Python programming language. You will learn about supervised learning, unsupervised learning, deep learning, image processing, and generative adversarial networks. You will implement machine learning models using Python and will learn about the many applications of machine learning used in industry today. You will also learn about and use different machine learning algorithms to create your models.

Nov 2nd 2026

4 Weeks

Python Machine Learning Image Processing

Coursera

MathWorks

Object Tracking and Motion Detection with Computer Vision (Coursera)

Engineering

In the third and final course of the Computer Vision for Engineering and Science specialization, you will learn to track objects and detect motion in videos. Tracking objects and detecting motion are difficult tasks but are required for applications as varied as microbiology and autonomous systems. To track objects, you first need to detect them. You’ll use pre-trained deep neural networks to perform object detection. You’ll also use optical flow to detect motion and use the results to detect moving objects.

Nov 2nd 2026

4 Weeks

MATLAB Computer Vision Object Detection

Coursera

MathWorks

Image Segmentation, Filtering, and Region Analysis (Coursera)

CS: Software Engineering

In this course, you will build on the skills learned in Introduction to Image Processing to work through common complications such as noise. You’ll use spatial filters to deal with different types of artifacts. You’ll learn new approaches to segmentation such as edge detection and clustering. You’ll also analyze regions of interest and calculate properties such as size, orientation, and location.

Oct 26th 2026

4 Weeks

Image Processing Filtering Image Segmentation

Coursera

Edge Impulse

Computer Vision with Embedded Machine Learning (Coursera)

Data Science

Computer vision (CV) is a fascinating field of study that attempts to automate the process of assigning meaning to digital images or videos. In other words, we are helping computers see and understand the world around us! A number of machine learning (ML) algorithms and techniques can be used to accomplish CV tasks, and as ML becomes faster and more efficient, we can deploy these techniques to embedded systems.

Oct 26th 2026

3 Weeks

Machine Learning Computer Vision Object Detection

Coursera

Johns Hopkins University

Introduction to Neurohacking In R (Coursera)

Statistics & Data Analysis Data Science

Neurohacking describes how to use the R programming language and its associated package to perform manipulation, processing, and analysis of neuroimaging data. We focus on publicly-available structural magnetic resonance imaging (MRI). We discuss concepts such as inhomogeneity correction, image registration, and image visualization.

Nov 2nd 2026

4 Weeks

Brain Neurology R Language

Coursera

École Polytechnique Fédérale de Lausanne

Digital Signal Processing 4: Applications (Coursera)

Engineering Sci: Physics

Digital Signal Processing is the branch of engineering that, in the space of just a few decades, has enabled unprecedented levels of interpersonal communication and of on-demand entertainment. By reworking the principles of electronics, telecommunication and computer science into a unifying paradigm, DSP is a the heart of the digital revolution that brought us CDs, DVDs, MP3 players, mobile phones and countless other devices.

Nov 9th 2026

3 Weeks

Algorithms DSP Signal Processing

Coursera

Microsoft

Artificial Intelligence on Microsoft Azure (Coursera)

CS: Information & Technology

Whether you're just beginning to work with Artificial Intelligence (AI) or you already have AI experience and are new to Microsoft Azure, this course provides you with everything you need to get started. Artificial Intelligence (AI) empowers amazing new solutions and experiences; and Microsoft Azure provides easy to use services to help you build solutions that seemed like science fiction a short time ago; enabling incredible advances in health care, financial management, environmental protection, and other areas to make a better world for everyone.

Nov 2nd 2026

1 Week

Artificial Intelligence NLP Machine Learning