This page is a part of CVprimer.com, a wiki devoted to computer vision. It focuses on low level computer vision, digital image analysis, and applications. It is designed as an online textbook but the exposition is informal. It geared towards software developers, especially beginners, and CS students. The wiki contains mathematics, algorithms, code examples, source code, compiled software, and some discussion. If you have any questions or suggestions, please contact me directly.
Case studies
From Computer Vision Primer
Here we have a few examples of how Pixcavator is used to analyze images in a variety of situations. Most of the images came from our users.
- Analysis of sample images
- Inspecting semiconductor wafers (machine vision)
- Cell counting
- Character recognition (aka OCR)
- Mosaic making
- Optical illusions
- Microarray analysis
- Drusen contours (Ophthalmology)
- Counting sealed brood in bee frames
- Measuring the volume of prostate cancer tumor
- Measuring holes in a gasket
- Detecting a small breast cancer tumor
- MRI
- Iceberg is born
- Petrographic image analysis
- X-rays
- Night vision
- Counting blood cells
- Melanoma
- Astronomy
- Gel image analysis
Send us more images!
Also take a look at our image gallery and, for the most recent examples, our blog: Computer Vision for Dummies.
