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Vectorization

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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:

  • Graphics for print: Images that are created with vectorization can be printed at any size without losing quality, making it ideal for billboards, posters, and other large-scale projects.
  • Web graphics: Vector graphics can be scaled to any size without losing quality and can be used on websites without taking up too much bandwidth, making them well suited for icons, logos, and other graphical elements that need to be legible at any size.
  • Computer-aided design (CAD): Vector graphics are often used in CAD applications to create precise technical drawings of blueprints, schematics, and other complex designs.
  • Computer animation: Vector graphics are often used in computer animation to create characters and other objects with smooth, fluid motion.




  • Convenience: Online courses can be accessed from anywhere with an internet connection, making it easy to learn about vectorization on your own time and at your own pace.
  • Flexibility: Online courses allow you to learn about vectorization at your own pace, which can be helpful if you have a busy schedule or if you need to review material at your own speed.
  • Variety: There are a number of online courses available on vectorization, so you can find one that fits your learning style and interests.
  • Affordability: Online courses are typically more affordable than traditional college courses, making them a great option for budget-minded learners.




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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.
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Covers the use of vectorization in web design, including techniques for creating logos, icons, and other web graphics.
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