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iOS Application Development with OpenCV 3

You're reading from  iOS Application Development with OpenCV 3

Product type Book
Published in Jun 2016
Publisher Packt
ISBN-13 9781785289491
Pages 228 pages
Edition 1st Edition
Languages
Author (1):
Joseph Howse Joseph Howse
Profile icon Joseph Howse

Table of Contents (13) Chapters

iOS Application Development with OpenCV 3
Credits
About the Author
Acknowledgments
About the Reviewer
www.PacktPub.com
Preface
1. Setting Up Software and Hardware 2. Capturing, Storing, and Sharing Photos 3. Blending Images 4. Detecting and Merging Faces of Mammals 5. Classifying Coins and Commodities Index

Working with various color formats


As we have seen, OpenCV and the iOS SDK work with various formats for color and grayscale images and sometimes we need to convert between formats. Let's step back from the code for a few moments to discuss the differences between formats and the problems that can arise if we do not perform the correct conversions.

RGB, BGR, RGBA, and BGRA

You probably learned the 24-bit RGB color format long ago, the first time you picked a custom color in a paint program or word processor. A pixel's color is represented by a sequence of three values, each with a range of 0 to 255 (that is, 8 bits or 1 byte). The first value is the color's red component or channel, followed by green, and lastly blue. For example, the color of an amber traffic light is (255, 126, 0), a mixture of lots of red and some green, but no blue. A series of pixel data makes an image.

The 24-bit BGR format simply reverses the channel order. For example, the color of the amber traffic light is (0, 126...

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