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.
Image Segmentation, Filtering, and Region Analysis
Image Segmentation, Filtering, and Region Analysis
This course is part of Image Processing for Engineering and Science Specialization
Instructors: Amanda Wang
1,977 already enrolled
Course
Gain insight into a topic and learn the fundamentals
4.9
(21 reviews)
Beginner level
Recommended experience
10 hours (approximately)
Flexible schedule
Learn at your own pace
Skills you'll gain
- Category: Image Processing
- Category: Image Segmentation
- Category: region analysis
- Category: image filtering
Details to know
Shareable Certificate
Add to your LinkedIn profile
Quizzes and assessments
2 quizzes, 3 assessments
English
Subtitles: English
Course
Gain insight into a topic and learn the fundamentals
4.9
(21 reviews)
Beginner level
Recommended experience
10 hours (approximately)
Flexible schedule
Learn at your own pace
Build your subject-matter expertise
This course is part of the Image Processing for Engineering and Science Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
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There are 4 modules in this course
What's included
4 videos6 readings
What's included
2 videos
What's included
2 videos2 readings1 quiz
What's included
4 videos3 readings1 quiz
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4.9
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Recommended if you're interested in Physical Science and Engineering
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Frequently asked questions
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:
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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 Specialization, 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.
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