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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

Defining blobs and a blob detector


For our purposes, a blob simply has an image and label. The image is cv::Mat and the label is an unsigned integer. The label's default value is 0, which shall signify that the blob has not yet been classified. Create a new header file, Blob.h, and fill it with the following declaration of a Blob class:

#ifndef BLOB_H
#define BLOB_H

#include <opencv2/core.hpp>

class Blob
{
public:
  Blob(const cv::Mat &mat, uint32_t label = 0ul);
  
  /**
   * Construct an empty blob.
   */
  Blob();
  
  /**
   * Construct a blob by copying another blob.
   */
  Blob(const Blob &other);
  
  bool isEmpty() const;
  
  uint32_t getLabel() const;
  void setLabel(uint32_t value);
  
  const cv::Mat &getMat() const;
  int getWidth() const;
  int getHeight() const;
  
private:
  uint32_t label;
  
  cv::Mat mat;
};

#endif // BLOB_H

The image of Blob does not change after construction, but the label may change as a result of our classification process. Note...

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