Ementorhub

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

Skills you'll gain

Matlab

Computer Vision

Visualization (Computer Graphics)

Image Analysis

Feature Engineering

Geospatial Information and Technology

Geometric Dimensioning And Tolerancing

Data Mapping

Applied Machine Learning

Medical Imaging

Algorithms

There are 4 modules in this course

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.

Working With Features

Image Registration

Image Stitching