Back to Image Segmentation, Filtering, and Region Analysis
MathWorks

Image Segmentation, Filtering, and Region Analysis

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. By the end of this course, you’ll be able to separate and analyze regions in your own images. You’ll apply your skills to segment an MRI image of a brain to separate different tissues. 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 image processing tasks. You will be provided with free access to MATLAB for the duration of the course to complete your work. To be successful in this course you should have a background in basic math and some exposure to MATLAB. If you want to familiarize yourself with MATLAB check out the free, two-hour MATLAB Onramp. Experience with image processing is not required.

Status: Spatial Analysis
Status: Computer Vision
BeginnerCourse9 hours

Featured reviews

ZI

Reviewed Jan 29, 2023

Short but handy course. My advice is to code along and understand every used function. Final project is great

SK

Reviewed Oct 28, 2022

Great course, I thoroughly enjoyed the course, even though bit struggled in final assignments. THANK YOU coursera and mathworks

HR

Reviewed Jun 7, 2022

a very good introduction to image processing using MATLAB and its in built image processing and computer vision toolbox.

All reviews

Showing: 17 of 17

Zejd
5.0
Reviewed Jan 30, 2023
Marcelo
5.0
Reviewed Apr 11, 2024
Susan
3.0
Reviewed Oct 23, 2022
Christopher
5.0
Reviewed Jul 12, 2022
Sonia
5.0
Reviewed Jan 24, 2025
Tsegaye
5.0
Reviewed Aug 23, 2022
Subbu
5.0
Reviewed Oct 29, 2022
Hoashalarajh
5.0
Reviewed Jun 8, 2022
Mario
5.0
Reviewed Jun 16, 2026
Julian
5.0
Reviewed Jan 17, 2026
ALI
5.0
Reviewed Jan 13, 2023
SAAD
5.0
Reviewed Dec 16, 2024
PENDYALA
5.0
Reviewed Sep 12, 2024
MAILE
5.0
Reviewed Sep 7, 2024
Jihye
5.0
Reviewed Apr 10, 2025
Adam
4.0
Reviewed Jan 2, 2025
PABLO
1.0
Reviewed Jan 2, 2024