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
Sponsored by Coursera Learning Team
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(153 reviews)
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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
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Reviewed on Jul 28, 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 4, 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 8, 2022
a very good introduction to image processing using MATLAB and its in built image processing toolbox.
Recommended if you're interested in Physical Science and Engineering
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