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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

Understanding blob detection


A blob is a region that we can discern based on color. Perhaps the blob itself has a distinctive color, or perhaps the background does. Unlike the term "object", the term "blob" does not necessarily imply something with mass and volume. For example, surface variations such as stains can be blobs, even though they have negligible mass and volume. Optical effects can also be blobs. For example, a lens's aperture can produce bokeh balls or out-of-focus highlights that can make lights or shiny things appear strangely large and strangely similar to the aperture's shape. However, in BeanCounter, we tend to assume that a blob is a classifiable object.

Note

The term "bokeh" comes from a Japanese word for bamboo. Different authors give different stories about the etymology, but perhaps someone thought bokeh balls resemble the bright rim of a chopped piece of bamboo.

Typically, a blob detector needs to solve the following sequence of problems:

  1. Segmentation: Distinguish between...

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