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Introduction to Image Processing

Master fundamental concepts of digital image processing using MATLAB for analysis and enhancement with this course

Master fundamental concepts of digital image processing using MATLAB for analysis and enhancement with this course

This foundational course teaches essential image processing techniques using MATLAB. Students learn to analyze various image datatypes, perform segmentation, enhance contrast, and conduct practical projects like analyzing satellite imagery. The curriculum covers digital image basics, data manipulation, thresholding techniques, and contrast adjustment methods.

4.8

(132 ratings)

14,700 already enrolled

Instructors:

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Introduction to Image Processing

This course includes

8 Hours

Of Self-paced video lessons

Beginner Level

Completion Certificate

awarded on course completion

Free course

What you'll learn

  • Analyze various image datatypes effectively

  • Perform image segmentation techniques

  • Enhance image contrast using algorithms

  • Conduct satellite image analysis

  • Manipulate digital image data

  • Implement practical processing solutions

Skills you'll gain

Image Processing
Image Segmentation
MATLAB
Digital Imaging
Image Analysis
Computer Vision
Data Visualization
Image Enhancement

This course includes:

54 Minutes PreRecorded video

4 quizzes, 4 assignments

Access on Mobile, Tablet, Desktop

FullTime access

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There are 4 modules in this course

This comprehensive course introduces digital image processing fundamentals using MATLAB. Through four modules, students learn about digital image representation, data manipulation, thresholding techniques, and contrast enhancement. The curriculum includes practical projects and hands-on assignments, culminating in real-world applications like satellite image analysis.

Introduction to Digital Images

Module 1 · 1 Hours to complete

Working with Image Data

Module 2 · 2 Hours to complete

Thresholding Images

Module 3 · 3 Hours to complete

Adjusting Image Contrast

Module 4 · 3 Hours to complete

Fee Structure

Instructors

Amanda Wang
Amanda Wang

4.7 rating

13 Reviews

27,064 Students

9 Courses

Online Course Developer at MathWorks

Amanda Wang is an Online Course Developer at MathWorks, specializing in creating educational content related to MATLAB and its applications in computer vision and deep learning. She holds dual Bachelor's degrees in Mathematics with Computer Science and Business Analytics from the Massachusetts Institute of Technology (MIT), which she completed in 2020. Currently, Amanda is pursuing a Master’s degree in Computer Science from the University of Illinois Urbana-Champaign.

Matt Rich
Matt Rich

4.9 rating

53 Reviews

50,833 Students

13 Courses

Senior Online Content Developer at MathWorks

Matt Rich is a Senior Online Content Developer at MathWorks, where he specializes in creating educational materials related to MATLAB and its applications in engineering and data science. He holds both a PhD and an MS in Electrical Engineering from Iowa State University. His doctoral research focused on developing new methods for designing control systems over networks that experience communication interruptions due to random processes. His master's research involved system identification and robust control methods tailored for small unmanned aerial vehicles (UAVs) with uncertain physical parameters.

Introduction to Image Processing

This course includes

8 Hours

Of Self-paced video lessons

Beginner Level

Completion Certificate

awarded on course completion

Free course

Testimonials

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Frequently asked questions

Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.