This page is a part of CVprimer.com, a wiki devoted to computer vision. It focuses on low level computer vision, digital image analysis, image processing, and applications. It is designed as an online textbook intended for beginners. The wiki contains discussion of mathematics, algorithms, source code, image analysis software, books, and some related topics. If you have any questions or suggestions, please contact me directly. -- Peter
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From Computer Vision Primer
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Computer Vision For Beginners
The current image analysis and computer vision technology is a very large collection of disparate “tools” in the form of “toolboxes”, “cookbooks”, or code libraries. It follows the following outdated manual paradigm:
Image analysis tools include “edge detection”, “thresholding”, “segmentation”, “Fourier transform”, “wavelets”, "the Laplacian of the Gaussian" (my favorite), and on and on, all drown in a sea of image processing tools. It takes serious training and experience to put these pieces together. The methods are mathematically advanced at a level that goes well beyond what is covered in a typical undergraduate degree in computer science: Fourier and wavelet transforms, partial differential equations, probability and statistics, discrete topology and geometry, etc.
A computer vision platform should allow the software developer to concentrate on the user’s needs instead of custom development of or experimentation with mathematical methods and algorithms. Our goal is to take care of the "Mathematical tools" part above so that the developer would face this:
Initially we'll be able to handle only the fundamentals: objects in the image, their locations, measurements, their topology, etc. It is what may be called the low level computer vision. This data will allow the developer to concentrate on high level computer vision: what these objects represent in the context of his project.
For that we have our free software developer's kit (SDK). If you also want to understand how everything works, this wiki gives you a unique chance. We have complete and detailed expositions and source code.
In fact, this wiki is self-contained and requires only high school math...
How To Read This Wiki
The wiki contains 100 articles articles and there is a number of ways you can read it. Depending on your interests, this is how you can start. Each article has further links (UC stands for “under construction”).
If you are just curious about computer vision...
- Human vision vs. computer vision UC
- Examples of image analysis
- Overview
- Image search
- Binary images
- video/motion tracking UC
- Topological issues in computer vision
- Blog: Computer Vision for Dummies
If you are interested in photo editing etc...
- Image manipulation UC
- Image simplification - download
- Watercolors - download UC
- Binary images
- Grayscale images
- Color images UC
- Image search - download
- Mosaic making
If you are a scientist interested in image analysis for biology, medicine etc...
- Pixcavator tutorial - download
- Examples of image analysis
- Image analysis software
- Cell counting - download
- Binary images
If you are a student taking a computer vision or image processing class...
Read the book assigned by your professor. Ignore this wiki if you want a good grade... (Unless you are one of my students, then proceed to The Mathematics of Computer Vision.)
If you are a beginner software developer interested in elementary computer vision...
- About this wiki
- Software projects
- Examples of image analysis
- Image segmentation
- Image analysis software
- Pixcavator tutorial - download
- Pixcavator SDK - download
- Binary images
- Binary images - implementation - download
- Grayscale images


