Book description
Learn how to build your own computer vision (CV) applications quickly and easily with SimpleCV, an open source framework written in Python. Through examples of real-world applications, this hands-on guide introduces you to basic CV techniques for collecting, processing, and analyzing streaming digital images. You’ll then learn how to apply these methods with SimpleCV, using sample Python code. All you need to get started is a Windows, Mac, or Linux system, and a willingness to put CV to work in a variety of ways.
Table of contents
- Practical Computer Vision with SimpleCV
- SPECIAL OFFER: Upgrade this ebook with O’Reilly
- Preface
- 1. Introduction
- 2. Getting to Know the SimpleCV Framework
- 3. Image Sources
- 4. Pixels and Images
- 5. The Impact of Light
- 6. Image Arithmetic
- 7. Drawing on Images
- 8. Basic Feature Detection
- 9. FeatureSet Manipulation
- 10. Advanced Features
- A. Advanced Shell Tips
- B. Cameras and Lenses
- C. Advanced Features
- About the Authors
- SPECIAL OFFER: Upgrade this ebook with O’Reilly
- Copyright
Product information
- Title: Practical Computer Vision with SimpleCV
- Author(s):
- Release date: August 2012
- Publisher(s): O'Reilly Media, Inc.
- ISBN: 9781449320362
You might also like
book
Python for Programmers, First Edition
The professional programmer's Deitel® guide to Python® with introductory artificial intelligence case studies Written for programmers …
book
Computer and Machine Vision, 4th Edition
Computer and Machine Vision: Theory, Algorithms, Practicalities (previously entitled Machine Vision) clearly and systematically presents the …
book
Classic Computer Science Problems in Python
Classic Computer Science Problems in Python sharpens your CS problem-solving skills with time-tested scenarios, exercises, and …
book
Programming Computer Vision with Python
If you want a basic understanding of computer vision’s underlying theory and algorithms, this hands-on introduction …