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Image Segmentation, Filtering, and Region Analysis

This course is part of multiple programs.

Instructors: Amanda Wang

12,175 already enrolled

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4 modules

Gain insight into a topic and learn the fundamentals.

57 reviews

Beginner level

Recommended experience

9 hours to complete

Flexible schedule

Learn at your own pace

4 modules

Gain insight into a topic and learn the fundamentals.

57 reviews

Beginner level

Recommended experience

9 hours to complete

Flexible schedule

Learn at your own pace

What you'll learn

Use segmentation to detect and analyze regions of interest in images & video
Apply spatial filters and morphological operators to improve segmentation & remove noise
Segment & analyze 3D images, such as MRI images of a brain
Use interactive tools to quickly test a variety of segmentation approaches & automatically generate code for reuse

Skills you'll gain

Tools you'll learn

Details to know

Shareable certificate

Add to your LinkedIn profile

Assessments

5 assignments

Taught in English

91%

of learners achieved a positive career outcome

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There are 4 modules in this course

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.