Introduction to Image Processing from Coursera

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.

By the end of the course, you’ll apply your segmentation skills to identify regions of interest, such as the amount of surface water from satellite images. This introduction to image processing will give you the foundation you need to conduct more advanced work on this topic.

You will use MATLAB throughout this course. MATLAB is the go-to choice for millions of people working in engineering and science and provides the capabilities you need to accomplish your image processing tasks. You will be provided with free access to MATLAB for the duration of the course to complete your work.

To be successful in this course you should have a background in basic math and some exposure to MATLAB. If you want to familiarize yourself with MATLAB check out the free, two-hour MATLAB Onramp. Experience with image processing is not required.

What's inside

Syllabus

Introduction to Digital Images

Working with Image Data

Thresholding Images

Adjusting Image Contrast

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Useful for understanding the basics of digital image processing, including working with data and adjusting contrast

Builds a solid foundation for more advanced work in image processing

Emphasizes hands-on practice with MATLAB, a widely used tool in the field

Taught by experienced instructors with expertise in image processing

Suitable for beginners with basic math skills and no prior experience in image processing

May require additional resources for learners seeking in-depth knowledge of specific image processing techniques

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Introduction to Image Processing with these activities:

MATLAB Essentials Review

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Review core MATLAB syntax and functions to prepare for this course's image processing tasks.

Browse courses on MATLAB

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Revisit MATLAB syntax and data types.
Practice creating and manipulating matrices.
Review basic image processing operations like cropping and resizing.

Review linear algebra basics

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Reviewing linear algebra concepts like matrices, matrix operations, vector spaces, and linear transformations will provide a solid foundation for this course.

Browse courses on Linear Algebra

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Revisit foundational concepts from linear algebra
Practice matrix operations and transformations

Review Fundamentals of Digital Image Processing

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Familiarize yourself with general principles of digital image processing techniques, which will help in expanding upon those principles in this course.

View Fundamentals of Digital Image Processing on Amazon

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Read through the chapters of the book.
Take notes on definitions and concepts.
Work through the exercises at the end of each chapter.

One other activity

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Mentor Junior Students

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Reinforce your understanding while helping others grasp image processing concepts.

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Identify opportunities to mentor junior students interested in image processing.
Provide guidance, support, and feedback on their image processing projects and assignments.

Career center

Learners who complete Introduction to Image Processing will develop knowledge and skills that may be useful to these careers:

Medical Imaging Analyst

Medical Imaging Analysts help radiologists analyze medical images, such as X-rays, to diagnose and treat patients. This course may be useful for Medical Imaging Analysts as it will help them to understand how images are recognized and how to adjust their contrast to make objects of interest easier to identify. This course also covers basic image segmentation, which can be used to identify regions of interest in medical images.

See salaries and explore the career path for Medical Imaging Analyst

Biomedical Engineer

Biomedical Engineers apply engineering principles to solve healthcare challenges. They research, design, and develop medical equipment and devices, such as devices designed to treat diabetes, cancer, Alzheimer's disease, and heart disease. This course may be useful for Biomedical Engineers as it will help them to understand how to adjust image size and orientation. Adjusting image size and orientation is an important skill for Biomedical Engineers because it allows the images they are working with to be displayed in a way that is easy to interpret. This course also covers basic image segmentation, which can be used to identify regions of interest in medical images.

See salaries and explore the career path for Biomedical Engineer

Computer Vision Engineer

Computer Vision Engineers develop and implement computer vision systems, which allow computers to see and interpret images. These systems are used in many applications, such as medical image analysis, self-driving cars, and surveillance. This course may be useful for Computer Vision Engineers as it will help them to understand how to load, save, and adjust image size and orientation. Loading, saving, and adjusting image size and orientation is an important skill for Computer Vision Engineers because it allows them to work with images in a variety of formats and sizes. This course also covers how digital images are recognized, which is an important topic for Computer Vision Engineers to understand.

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Data Scientist

Data Scientists use data science techniques to analyze data and solve business problems. They work in a variety of industries, including healthcare, finance, and manufacturing. This course may be useful for Data Scientists as it will help them to understand the basics of digital image processing. Digital image processing is a valuable skill for Data Scientists because it allows them to work with and analyze images.

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Machine Learning Engineer

Machine Learning Engineers develop and implement machine learning models. These models are used in a variety of applications, such as image recognition, natural language processing, and speech recognition. This course may be useful for Machine Learning Engineers as it will help them to understand how to adjust the contrast of images. Adjusting the contrast of images is an important skill for Machine Learning Engineers because it allows them to improve the accuracy of their models. This course also covers basic image segmentation, which can be used to identify regions of interest in images.

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Marketing Manager

Marketing Managers develop and execute marketing campaigns. They work with a variety of teams to develop and promote products and services. This course may be useful for Marketing Managers as it will help them to understand the basics of digital image processing. Digital image processing is a valuable skill for Marketing Managers because it allows them to create marketing campaigns that use images effectively.

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Operations Manager

Operations Managers develop and execute operations plans. They work with a variety of teams to ensure that products and services are produced and delivered efficiently. This course may be useful for Operations Managers as it will help them to understand the basics of digital image processing. Digital image processing is a valuable skill for Operations Managers because it allows them to create operations plans that use images effectively.

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Technical Writer

Technical Writers create and edit technical documentation. They work with engineers and scientists to develop documentation that is clear and concise. This course may be useful for Technical Writers as it will help them to understand the basics of digital image processing. Digital image processing is a valuable skill for Technical Writers because it allows them to create documentation that includes images that are both visually appealing and informative.

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Systems Engineer

Systems Engineers design, develop, and implement systems. They work in a variety of industries, including healthcare, finance, and manufacturing. This course may be useful for Systems Engineers as it will help them to understand the basics of digital image processing. Digital image processing is a valuable skill for Systems Engineers because it allows them to develop systems that can process and analyze images.

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User Experience Designer

User Experience Designers design and develop user interfaces. They work with product managers and engineers to create user interfaces that are both user-friendly and efficient. This course may be useful for User Experience Designers as it will help them to understand the basics of digital image processing. Digital image processing is a valuable skill for User Experience Designers because it allows them to design user interfaces that use images effectively.

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Product Manager

Product Managers are responsible for the development and launch of new products. They work with engineers, designers, and marketers to bring products to market. This course may be useful for Product Managers as it will help them to understand the basics of digital image processing. Digital image processing is a valuable skill for Product Managers because it allows them to better understand the needs of their customers and to develop products that meet those needs.

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Sales Manager

Sales Managers develop and execute sales strategies. They work with a variety of teams to sell products and services. This course may be useful for Sales Managers as it will help them to understand the basics of digital image processing. Digital image processing is a valuable skill for Sales Managers because it allows them to create sales presentations that use images effectively.

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Business Analyst

Business Analysts gather and analyze business requirements. They work with a variety of teams to develop and implement business solutions. This course may be useful for Business Analysts as it will help them to understand the basics of digital image processing. Digital image processing is a valuable skill for Business Analysts because it allows them to gather and analyze data from images.

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Software Engineer

Software Engineers design, develop, and implement software. They work in a variety of industries, including healthcare, finance, and manufacturing. This course may be useful for Software Engineers as it will help them to understand the basics of digital image processing. Digital image processing is a valuable skill for Software Engineers because it allows them to develop software that can process and analyze images.

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Web Developer

Web Developers design and develop websites. They work with designers and content writers to create websites that are both visually appealing and functional. This course may be useful for Web Developers as it will help them to understand the basics of digital image processing. Digital image processing is a valuable skill for Web Developers because it allows them to develop websites that include images that are both visually appealing and informative. This course also covers basic image segmentation, which can be used to identify regions of interest in images.

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Introduction to Image Processing

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