May 1, 2024
3 minute read
Vectorization is the process of converting an image that uses pixels into a format that utilizes mathematical equations and curves instead. Doing so can benefit the graphic in various ways and is a popular process for images that appear in computer-aided design (CAD), illustration, and animation applications.
There are many uses for the vectorization of images. Some of the most common include:
5588ar|
Find a path to becoming a Vectorization. Learn more at:
OpenCourser.com/topic/5588ar/vectorizatio
Reading list
We've selected five books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
Vectorization.
Covers the fundamentals of vectorization and image processing techniques used in computer vision, with a focus on applications in object recognition and tracking.
Covers the mathematical and computational foundations of vectorization for technical graphics, including topics such as Bezier curves, splines, and surface fitting.
Covers the use of vectorization in scientific computing, including techniques for solving partial differential equations, simulating physical phenomena, and visualizing data.
Covers the use of vectorization in medical imaging, including techniques for image segmentation, feature extraction, and diagnosis.
Covers the use of vectorization in web design, including techniques for creating logos, icons, and other web graphics.
For more information about how these books relate to this course, visit:
OpenCourser.com/topic/5588ar/vectorizatio