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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Introduction to Image Processing
This course is part of multiple programs.
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Instructors: Amanda Wang
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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
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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
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Instructors
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153 reviews
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Reviewed on Jul 27, 2022
This is the basic introduction to image processing course , I think mentors have clear accent. Also, if you encounter a problem, they reply to you as soon as possible from the forums.
Reviewed on Sep 3, 2022
Great course with good examples, quizzes, and practice live scripts. Thoroughly enjoyed. Thank you MathWorks and coursera for providing a wonderful course. Cant wait to start the second Course .
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
Yes. A free license is available to learners enrolled in the course. You must have a computer capable of running MATLAB. You can view the system requirements here.
Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don't see the audit option:
The course may not offer an audit option. You can try a Free Trial instead, or apply for Financial Aid.
The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
When you enroll in the course, you get access to all of the courses in the Certificate, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.