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iOS Application Development with OpenCV 3

You're reading from   iOS Application Development with OpenCV 3 Create four mobile apps and explore the world through photography and computer vision

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Product type Paperback
Published in Jun 2016
Publisher Packt
ISBN-13 9781785289491
Length 228 pages
Edition 1st Edition
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Author (1):
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Joseph Howse Joseph Howse
Author Profile Icon Joseph Howse
Joseph Howse
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Toc

Table of Contents (7) Chapters Close

Preface 1. Setting Up Software and Hardware FREE CHAPTER 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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