Image Segmentation, Filtering, and Region Analysis from Coursera

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.

By the end of this course, you’ll be able to separate and analyze regions in your own images. You’ll apply your skills to segment an MRI image of a brain to separate different tissues.

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

Spatial Filtering and Edge Detection

Improving Segmentation

Advanced Segmentation Approaches

Calculating Region Properties

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Strong foundation for beginners on spatial filtering, edge detection and image segmentation

Emphasizes practical applications of segmentation techniques, such as MRI brain image analysis

Provides free access to MATLAB, the industry-standard tool for image processing

Requires some background in basic math and exposure to MATLAB

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 Image Segmentation, Filtering, and Region Analysis with these activities:

Create a study guide for the course

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Creating a study guide will help you organize the material covered in the course and prepare for exams.

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Review the course syllabus and identify the key topics
Create a table or outline that summarizes the key concepts for each topic
Include examples, practice problems, and other resources that will help you understand the material

Practice image filtering techniques

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Practicing image filtering techniques will help you develop the skills necessary to effectively remove noise and extract features from images.

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Implement a simple averaging filter and apply it to an image
Implement a Gaussian filter and compare its results to the averaging filter
Implement a Sobel edge detector and use it to detect edges in an image

Solve practice problems on image processing

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Solving practice problems will help you test your understanding of the material and identify areas where you need additional practice.

Browse courses on Image Processing

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Find a set of practice problems online or in a textbook
Solve the problems and check your answers
Review the solutions to the problems and identify any areas where you need additional practice

Three other activities

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Watch video tutorials on advanced image processing techniques

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Watching video tutorials on advanced image processing techniques will help you supplement the material covered in the course and gain a deeper understanding of the field.

Browse courses on Computer Vision

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Identify a few video tutorials that cover topics of interest
Watch the tutorials and take notes
Apply the techniques you learn to your own image processing projects

Develop an image segmentation algorithm

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Developing your own image segmentation algorithm will give you a deeper understanding of the concepts and techniques involved in this important image processing task.

Browse courses on Image Segmentation

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Choose an image segmentation algorithm to implement
Implement the algorithm in MATLAB
Test the algorithm on a variety of images
Evaluate the results and make improvements as needed

Develop a prototype for an image processing application

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Developing a prototype for an image processing application will allow you to apply the skills you learn in the course to a real-world problem.

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Identify a problem that can be solved using image processing
Design and implement a prototype for a solution
Test the prototype and iterate on the design as needed
Present your prototype to others for feedback

Career center

Learners who complete Image Segmentation, Filtering, and Region Analysis will develop knowledge and skills that may be useful to these careers:

Medical Image Analyst

As a Medical Image Analyst, you will assist in the diagnosis and treatment of patients by analyzing medical images, such as X-rays, CT scans, and MRIs. In this role, the ability to segment images is a highly sought-after skill. This course will provide you with a deep understanding of image segmentation techniques, allowing you to accurately identify and separate different tissues and structures in medical images.

See salaries and explore the career path for Medical Image Analyst

Computer Vision Engineer

Computer Vision Engineers design and develop systems that enable computers to interpret and understand images. Image segmentation is a crucial component of computer vision, as it helps divide images into meaningful regions. With the skills you will gain in this course, you will be well-equipped to segment images effectively, contributing to the accuracy and efficiency of computer vision systems.

See salaries and explore the career path for Computer Vision Engineer

Machine Learning Scientist

Machine Learning Scientists develop and deploy machine learning models to solve real-world problems. Many applications in machine learning, such as object detection and recognition, rely on image segmentation. This course will provide you with a solid foundation in image segmentation, enabling you to build robust and accurate machine learning models.

See salaries and explore the career path for Machine Learning Scientist

Data Scientist

Data Scientists analyze and interpret data from a variety of sources to extract meaningful insights. In this role, image segmentation is becoming increasingly important for tasks such as data visualization, anomaly detection, and pattern recognition. This course will provide you with the skills to effectively segment images, helping you uncover deeper insights from visual data.

See salaries and explore the career path for Data Scientist

Quality Assurance Engineer

Quality Assurance Engineers ensure the quality of software products by testing and analyzing them. In various industries, including manufacturing and healthcare, image segmentation is used for quality control and inspection. By taking this course, you will gain hands-on experience in image segmentation, enabling you to develop and implement effective quality control measures.

See salaries and explore the career path for Quality Assurance Engineer

Biomedical Engineer

Biomedical Engineers design and develop medical devices and equipment. A key aspect of biomedical engineering involves the processing and analysis of medical images. This course will equip you with the knowledge and skills in image segmentation, a critical technique for extracting meaningful information from medical scans and images.

See salaries and explore the career path for Biomedical Engineer

Geospatial Analyst

Geospatial Analysts use geographic data to solve problems and make decisions. Satellite imagery and other geospatial data often require segmentation to extract meaningful information. This course will provide you with the skills to segment and analyze geospatial data, enabling you to gain valuable insights from complex datasets.

See salaries and explore the career path for Geospatial Analyst

Forensic Analyst

Forensic Analysts collect and analyze evidence to solve crimes. They often need to examine and interpret images, including photographs, videos, and other visual data. This course will provide you with a solid foundation in image segmentation, allowing you to effectively analyze and extract critical information from visual evidence.

See salaries and explore the career path for Forensic Analyst

Photogrammetrist

Photogrammetrists use aerial and satellite images to create maps and other geospatial data. Image segmentation is a vital technique in photogrammetry, as it helps delineate and extract specific features from images. By taking this course, you will gain the skills to segment images accurately, enhancing the quality and precision of photogrammetric data.

See salaries and explore the career path for Photogrammetrist

Archaeologist

Archaeologists uncover and study past human societies through artifacts and other remains. Image segmentation is becoming increasingly used in archaeology to analyze images of excavation sites and artifacts. This course will equip you with the knowledge and skills in image segmentation, enabling you to contribute to the interpretation and understanding of archaeological data.

See salaries and explore the career path for Archaeologist

Materials Scientist

Materials Scientists develop and study materials for various applications in industries such as aerospace, construction, and healthcare. Image segmentation is used in materials science to analyze the structure and properties of materials. This course will provide you with a strong foundation in image segmentation techniques, enabling you to effectively analyze and characterize materials.

See salaries and explore the career path for Materials Scientist

Microscopist

Microscopists use microscopes to examine and analyze small structures and specimens. Image segmentation is a common technique in microscopy to extract specific features and structures from microscopic images. This course will provide you with a deep understanding of image segmentation algorithms, allowing you to enhance your microscopy skills and gain more detailed insights from images.

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Graphic designer

Graphic Designers create visual concepts and designs for marketing, advertising, and other purposes. Image segmentation is becoming increasingly important in graphic design for tasks such as image editing, compositing, and creating digital artwork. This course will provide you with a foundation in image segmentation, enabling you to manipulate and combine images more effectively.

See salaries and explore the career path for Graphic designer

Web Developer

Web Developers design and develop websites. Image segmentation is useful in web development for tasks such as optimizing images for different devices and creating interactive web applications. By taking this course, you will gain the skills to segment images effectively, enhancing the performance and user experience of your web applications.

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Photographer

Photographers capture and manipulate images. Image segmentation is a useful technique in photography for tasks such as editing, retouching, and isolating subjects from backgrounds. This course will provide you with a foundation in image segmentation, enhancing your ability to enhance and manipulate images effectively.

See salaries and explore the career path for Photographer