Practical computer vision with SimpleCV
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Main Library Stacks | Reference | 006.42 PRA (Browse shelf(Opens below)) | Available | 016116 |
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006.37 MYL Fundamentals of machine vision | 006.4 AVE Introduction to electronic imaging | 006.4 GOS Pattern recognition and image analysis | 006.42 PRA Practical computer vision with SimpleCV | 006.6 ADO Adobe Photoshop Elements 5.0 : and Adobe Premiere Elements 3.0 | 006.6 COM Computer Graphics: Principles and Practice | 006.6 COM Computer Graphics: Principles and Practice |
"Making computers see in Python"--Cover.
Getting to know the SimpleCV framework --
Image sources --
Pixels and images --
The impact of light --
Image arithmetic --
Drawing on images --
Basic feature detection --
FeatureSet manipulation --
Advanced features --
Advances shell tips --
Cameras and lenses.
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 digital images (streaming or still). 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. Programming experience is optional
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