Today, images and video are everywhere. Online photo-sharing sites and social networks have them in the billions. Search engines will produce images of just about anyconceivable query. Practically all phones and computers come with built-in cameras. It is not uncommon for people to have many gigabytes of photos and videos on their devices.
Programming a computer and designing algorithms for understanding what is in these images is the field of computer vision. Computer vision powers applications like image search, robot navigation, medical image analysis, photo management, and many more. The idea behind this book is to give an easily accessible entry point to hands-on computer vision with enough understanding of the underlying theory and algorithms to be a foundation for students, researchers, and enthusiasts. The Python programming language, the language choice of this book, comes with many freely available, powerful modules for handling images, mathematical computing, and datamining.
When writing this book, I have used the following principles as a guideline. The book should:
. Be written in an exploratory style and encourage readers to follow the examples on their computers as they are reading the text.
. Promote and use free and open software with a low learning threshold. Python was the obvious choice.
. Be complete and self-contained. This book does not cover all of computer vision but rather it should be complete in that all code is presented and explained. The reader should be able to reproduce the examples and build upon them directly.
.Be broad rather than detailed, inspiring and motivational rather than theoretical.
In short, it should act as a source of inspiration for those interested in programming computer vision applications
DOWNLOAD FREE EBOOK : "Programming Computer Vision With Phyton" For Free
PUBLISHER : O'REILLY
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