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OpenCV By Example

You're reading from  OpenCV By Example

Product type Book
Published in Jan 2016
Publisher Packt
ISBN-13 9781785280948
Pages 296 pages
Edition 1st Edition
Languages
Authors (3):
Prateek Joshi Prateek Joshi
Profile icon Prateek Joshi
David Millán Escrivá David Millán Escrivá
Profile icon David Millán Escrivá
Vinícius G. Mendonça Vinícius G. Mendonça
Profile icon Vinícius G. Mendonça
View More author details

Table of Contents (18) Chapters

OpenCV By Example
Credits
About the Authors
About the Reviewers
www.PacktPub.com
Preface
Getting Started with OpenCV An Introduction to the Basics of OpenCV Learning the Graphical User Interface and Basic Filtering Delving into Histograms and Filters Automated Optical Inspection, Object Segmentation, and Detection Learning Object Classification Detecting Face Parts and Overlaying Masks Video Surveillance, Background Modeling, and Morphological Operations Learning Object Tracking Developing Segmentation Algorithms for Text Recognition Text Recognition with Tesseract Index

Images and matrices


The most important structure in a Computer Vision is without any doubt the images. The image in Computer Vision is a representation of the physical world captured with a digital device. This picture is only a sequence of numbers stored in a matrix format, as shown in the following image. Each number is a measurement of the light intensity for the considered wavelength (for example, red, green, or blue in color images) or for a wavelength range (for panchromatic devices). Each point in an image is called a pixel (for a picture element), and each pixel can store one or more values depending on whether it is a gray, black, or white image (called a binary image as well) that stores only one value, such as 0 or 1, a gray-scale-level image that can store only one value, or a color image that can store three values. These values are usually integer numbers between 0 and 255, but you can use the other range. For example, 0 to 1 in a floating point numbers such as HDRI (High...

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