A Practical Introduction to Computer Vision with OpenCV (PDF)

Explains the theory behind basic computer vision and provides
a bridge from the theory to practical implementation using the
industry standard OpenCV libraries

Computer Vision is a rapidly expanding area and it is becoming
progressively easier for developers to make use of this field due
to the ready availability of high quality libraries (such as OpenCV
2). This text is intended to facilitate the practical use of
computer vision with the goal being to bridge the gap between the
theory and the practical implementation of computer vision. The
book will explain how to use the relevant OpenCV library routines
and will be accompanied by a full working program including the
code snippets from the text. This textbook is a heavily
illustrated, practical introduction to an exciting field, the
applications of which are becoming almost ubiquitous. We are
now surrounded by cameras, for example cameras on computers &
tablets/ cameras built into our mobile phones/ cameras
in games consoles; cameras imaging difficult modalities (such as
ultrasound, X-ray, MRI) in hospitals, and surveillance cameras.
This book is concerned with helping the next generation of computer
developers to make use of all these images in order to develop
systems which are more intuitive and interact with us in more
intelligent ways.

* Explains the theory behind basic computer vision and provides a
bridge from the theory to practical implementation using the
industry standard OpenCV libraries

* Offers an introduction to computer vision, with enough theory
to make clear how the various algorithms work but with an emphasis
on practical programming issues

* Provides enough material for a one semester course in computer
vision at senior undergraduate and Masters levels

* Includes the basics of cameras and images and image processing
to remove noise, before moving on to topics such as image
histogramming; binary imaging; video processing to detect and model
moving objects; geometric operations & camera models; edge
detection; features detection; recognition in images

* Contains a large number of vision application problems to
provide students with the opportunity to solve real problems.
Images or videos for these problems are provided in the resources
associated with this book which include an enhanced eBook