Automating Image Processing from Coursera

In this course, you will build on the skills acquired in Image Segmentation, Filtering, and Region Analysis to explore large sets of images and video files. It’s impractical to manually inspect results in large data sets. Automating image processing allows you to do your work more efficiently.

At the end of this course, you’ll apply all the skills learned in this specialization to a final project. You’ll take the role of an engineer being asked to monitor traffic on a busy road. You’ll detect cars from a noisy video and analyze the results.

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

Processing Batches of Images

Working with Video Files

Analyzing Results

Final Project: Detecting Cars in a Noisy Video

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Develops image processing skills relevant for careers in science, engineering, and more

Taught by experienced engineers and scientists specializing in image processing

Involves practical skills that are applicable to real-world industry problems

Provides access to free MATLAB software

Assumes basic math and some MATLAB experience, which may not be suitable for complete beginners

Requires access to a computer with MATLAB software, which may not be readily available for all learners

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 Automating Image Processing with these activities:

Find a Mentor in Image Processing

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Finding a mentor can help you accelerate your learning and gain valuable insights from an experienced professional.

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Identify potential mentors in your field.
Reach out to them and ask if they would be willing to mentor you.
Meet with your mentor regularly to discuss your progress and goals.

Read 'Digital Image Processing' by Rafael C. Gonzalez and Richard E. Woods

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This book provides a comprehensive overview of image processing techniques.

View Digital Image Processing, Global Edition on Amazon

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Read through the book and take notes on the key concepts.
Work through the exercises at the end of each chapter.
Apply the techniques you learn to your own images.

Watch Video Tutorials on Image Processing

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Watching tutorials can help you learn about different image processing techniques and how to apply them.

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Find a series of video tutorials on image processing.
Watch the tutorials and take notes on the key concepts.
Try to apply the techniques you learn to your own images.

Five other activities

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Practice MATLAB Exercises

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Working through exercises in MATLAB will help you solidify your understanding of the language and its capabilities.

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Find a set of practice exercises online or in a textbook.
Go through the exercises and try to solve them on your own.
Check your solutions against the provided answer key.
Repeat steps 1-3 until you feel comfortable with the material.

Complete Online Image Processing Challenges

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Completing challenges can help you test your skills and learn from others.

Browse courses on Image Analysis

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Find a website or platform that offers image processing challenges.
Choose a challenge and try to solve it.
Compare your solution to others and learn from their approaches.

Develop an Image Processing Algorithm

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Developing an algorithm can help you deepen your understanding of image processing and apply it to solve real-world problems.

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Identify a problem that can be solved using image processing.
Research existing algorithms and techniques.
Design and implement your own algorithm.
Test and evaluate your algorithm.

Build a Portfolio of Image Processing Projects

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Building a portfolio can showcase your skills and help you stand out to potential employers.

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Choose a variety of image processing projects to work on.
Document your work and create a portfolio website.
Share your portfolio with others and get feedback.

Mentor Junior Image Processing Students

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Mentoring others can help you reinforce your knowledge and develop your communication skills.

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Volunteer to mentor a junior image processing student.
Meet with your mentee regularly to discuss their work and provide guidance.
Help your mentee develop their skills and confidence.

Career center

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

Computer Vision Engineer

Computer Vision Engineers develop, test, and maintain systems that allow computers to see and interpret images and videos. They are responsible for designing and implementing algorithms that can detect, track, and classify objects in images and videos.

See salaries and explore the career path for Computer Vision Engineer

Image Processing Engineer

Image Processing Engineers develop, test, and maintain systems that process and analyze images. They are responsible for designing and implementing algorithms that can enhance, restore, and segment images.

See salaries and explore the career path for Image Processing Engineer

Machine Learning Engineer

Machine Learning Engineers develop, test, and maintain systems that can learn from data. They are responsible for designing and implementing algorithms that can make predictions and decisions based on data.

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Data Scientist

Data Scientists use data to solve problems. They are responsible for collecting, cleaning, and analyzing data to identify trends and patterns. They also develop and implement models that can make predictions and decisions based on data.

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Software Engineer

Software Engineers design, develop, test, and maintain software systems. They are responsible for writing code that implements algorithms and data structures.

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Computer Programmer

Computer Programmers write code that implements algorithms and data structures. They are responsible for developing, testing, and maintaining software systems.

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Web Developer

Web Developers design, develop, and maintain websites. They are responsible for writing code that implements algorithms and data structures.

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Data Analyst

Data Analysts use data to solve problems. They are responsible for collecting, cleaning, and analyzing data to identify trends and patterns.

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Quality Assurance Analyst

Quality Assurance Analysts test and validate software systems. They are responsible for ensuring that software systems meet requirements and are free of defects.

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Technical Writer

Technical Writers create documentation for software systems. They are responsible for writing user manuals, training materials, and marketing materials.

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Technical Support Specialist

Technical Support Specialists help customers troubleshoot and resolve software problems. They are responsible for answering questions, providing documentation, and escalating issues to engineers.

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Business Analyst

Business Analysts help businesses understand and solve problems. They are responsible for gathering requirements, analyzing data, and developing solutions.

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Product Manager

Product Managers define, develop, and launch products. They are responsible for understanding customer needs and developing products that meet those needs.

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Sales Engineer

Sales Engineers help customers understand and use software systems. They are responsible for demonstrating products, answering questions, and closing deals.

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Project Manager

Project Managers plan, execute, and close projects. They are responsible for managing resources, timelines, and budgets.

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