Librería Portfolio

Book Description

OpenCV Computer Vision Application Programming Cookbook Second Edition is your guide to the development of computer vision applications.

The book shows you how to install and deploy the OpenCV library to write an effective computer vision application. Different techniques for image enhancement, pixel manipulation, and shape analysis will be presented. You will also learn how to process video from files or cameras and detect and track moving objects. You will also be introduced to recent approaches in machine learning and object classification.

This book is a comprehensive reference guide that exposes you to practical and fundamental computer vision concepts, illustrated by extensive examples.

Table of Contents

1: PLAYING WITH IMAGES
2: MANIPULATING PIXELS
3: PROCESSING COLOR IMAGES WITH CLASSES
4: COUNTING THE PIXELS WITH HISTOGRAMS
5: TRANSFORMING IMAGES WITH MORPHOLOGICAL OPERATIONS
6: FILTERING THE IMAGES
7: EXTRACTING LINES, CONTOURS, AND COMPONENTS
8: DETECTING INTEREST POINTS
9: DESCRIBING AND MATCHING INTEREST POINTS
10: ESTIMATING PROJECTIVE RELATIONS IN IMAGES
11: PROCESSING VIDEO SEQUENCES
What You Will Learn

Install and create a program using the OpenCV library
Process an image by manipulating its pixels
Analyze an image using histograms
Segment images into homogenous regions and extract meaningful objects
Apply image filters to enhance image content
Exploit image geometry in order to relate different views of a pictured scene
Calibrate the camera from different image observations
Detect faces and people in images using machine learning techniques