A Practical Introduction to Computer Vision with OpenCV

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 OpenCV3. This book discusses the theory behind basic computer vision and provides a bridge from the theory to practical implementation using the industry standard OpenCV libraries. It explains how to use the relevant OpenCV library routines and is accompanied by a full working program including the code snippets from the text. It is a heavily illustrated, practical introduction to an exciting field, the applications of which are becoming ubiquitous. Key features: 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. Explains 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; feature detection; and recognition in images. Contains a large number of vision application problems to provide students with the opportunity to solve real problems.  Includes a companion website hosting images and code from the book, as well as application problem videos and images which allow students to attempt to solve the problems presented in the book.