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.
Introduction to Image Processing
Introduction to Image Processing
This course is part of multiple programs.
Instructors: Amanda Wang
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Gain insight into a topic and learn the fundamentals.
4.8
(145 reviews)
Beginner level
Recommended experience
9 hours to complete
3 weeks at 3 hours a week
Flexible schedule
Learn at your own pace
What you'll learn
Perform analysis on a variety of common image datatypes & recognize their strengths and limitations
Detect objects and regions of interest using intensity-based & color-based image segmentation
Improve image contrast using a variety of modern algorithms for different use-cases, such as low light or fog
Complete a project where you analyze Antarctic ice melt in satellite images
Skills you'll gain
Details to know
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Assessments
6 assignments
Taught in English
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There are 4 modules in this course
What's included
3 videos4 readings1 assignment1 discussion prompt
What's included
2 videos4 readings3 assignments1 app item1 discussion prompt
What's included
3 videos4 readings1 assignment1 app item2 discussion prompts
What's included
4 videos4 readings1 assignment1 app item1 plugin
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University of Colorado Boulder
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Technical University of Denmark (DTU)
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Learner reviews
4.8
145 reviews
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Showing 3 of 145
AG
5
Reviewed on Jan 18, 2023
Thank you for the fun & enjoyable learning experience.
SJ
5
Reviewed on Oct 10, 2022
I got to learn a lot even when I was completely new to both MATLAB and image processing. Would reccomend it because of the knowledgable and helpful instructors.
HR
5
Reviewed on Jun 7, 2022
a very good introduction to image processing using MATLAB and its in built image processing toolbox.
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Frequently asked questions
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