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Image Processing for Engineering and Science

Brandon Armstrong, Isaac Bruss, Matt Rich, Sam Jones, Megan Thompson, and Amanda Wang

As cameras become widespread, there are endless opportunities to process images and videos. This specialization is intended for engineers and scientists who need to analyze, design, and build systems using images or videos. You will explore real-world applications like:

· How quickly is arctic ice melting?

· Does an MRI image show a healthy brain?

· Are large cracks appearing in a foundation?

· What is the traffic flow during peak hours of the day?

You will use MATLAB throughout this specialization. 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 specialization to complete your work.

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What's inside

Three courses

Introduction to Image Processing

(0 hours)

In this introduction to image processing, you'll take your first steps in accessing and adjusting digital images for analysis and processing. You will load, save, and adjust image size and orientation while also understanding how digital images are recognized. You will then perform basic segmentation and quantitative analysis. Lastly, you will enhance the contrast of images to make objects of interest easier to identify.

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Image Segmentation, Filtering, and Region Analysis

(0 hours)

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 and learn new approaches to segmentation such as edge detection and clustering.

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Automating Image Processing

(0 hours)

In this course, you will learn to automate image processing tasks, allowing you to work more efficiently with large datasets. You will use MATLAB, the industry-standard software for image processing, and apply your skills to a final project involving traffic monitoring.

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Learning objectives

Detect & analyze regions of interest in images and videos
Reduce noise & improve contrast to better analyze images

Use interactive apps for rapid prototyping & code generation to automate your analysis
Scale your algorithms to analyze large image datasets and video

Detect & analyze regions of interest in images and videos
Reduce noise & improve contrast to better analyze images
Use interactive apps for rapid prototyping & code generation to automate your analysis
Scale your algorithms to analyze large image datasets and video

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Time

0 hours

Level

Introductory

Via

Coursera

Institution

MathWorks

Instructors

Brandon Armstrong

Isaac Bruss

Matt Rich

Sam Jones

Megan Thompson

Amanda Wang

Level

Introductory

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