Download Emgu CV Essentials by Shin Shin PDF

By Shin Shin

improve your individual computing device imaginative and prescient software utilizing the ability of Emgu CV


  • Packed with transparent causes and examples of ways to house computing device imaginative and prescient difficulties in Emgu CV
  • Learn the most positive factors of Emgu CV from the fundamentals to extra complicated innovations
  • Each bankruptcy covers a special machine imaginative and prescient software and teaches builders find out how to enforce it utilizing EmguCV

In Detail

laptop imaginative and prescient is an up and coming box in the box of machine technology that mixes picture processing with desktop studying. Emgu CV is a cross-platform library that may be used to essentially discover rather fascinating beneficial properties from snapshot shooting to personality attractiveness.

Emgu CV necessities is a pragmatic advisor to the Emgu CV library, a .Net wrapper for the OpenCV photograph processing library. the most good points and code samples are defined with a purpose to supply a greater knowing of Emgu CV, with a large choice of themes lined, from operating with photographs and form detection to making a landscape from a sequence of pictures.

study the fundamentals of Emgu CV, from developing your first venture to overlaying the most components of the pc imaginative and prescient box, with Emgu CV necessities. each one bankruptcy offers a separate venture to the reader, and offers the heritage wisdom essential to know how the examples paintings. begin with EmguCV and check out sensible desktop imaginative and prescient tasks, or move instantly to the subjects you're such a lot attracted to, equivalent to photograph processing, form detection, face detection, optical personality attractiveness, and extra.

Emgu CV necessities can provide the opportunity to discover the most parts of desktop imaginative and prescient with precious projects.

What you are going to examine from this book

  • Install Emgu CV throughout a number of systems
  • Understand some great benefits of Emgu CV, and generate a “Hello international” laptop imaginative and prescient venture
  • Harness the facility of Emgu CV easy methods to practice form detection
  • Work on matrices and pictures utilizing Emgu CV tools
  • Perform face and eye detection with Haar Classifier
  • Implement registration code detection and optical personality popularity utilizing OCR namespaces


This publication offers a pragmatic advisor to Emgu CV libraries, with pattern code and examples used all through to give an explanation for the strategies truly. each one bankruptcy bargains with a unique point of the pc imaginative and prescient box and the implementation of that subject in Emgu CV.

Who this ebook is written for

when you are a C# programmer engaged on desktop imaginative and prescient initiatives, this ebook is for you. you'll have previous adventure with C#.

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Extra resources for Emgu CV Essentials

Sample text

For example, if alpha channel equals 0 percent, it is completely transparent, whereas a value of 100 percent shows an opaque image. If the value of alpha channel is between 0 percent and 100 percent, it is a translucent image. PNG is one of the well-known image formats that uses RGBA color space. An example of a translucent RGBA image is given here: HSV stands for Hue, Saturation, and Value, which is considerably more natural than the RGB way to describe color sensations in a human's experience.

Dll. If you want to use the x64 compilation to go through your project, options must be modified to allow compiling project to the x64 framework before you start the image processing. After doing this, no error message will jump out, even if you are in the debug or release configuration. All the required files will always be copied and available in the project; that is why we prefer this kind of method here. Now, in the Solution Explorer, we can see references like the following: Additionally, we can see the DLLs as shown in the following screenshot: Designing our form Now let's begin to design our first form.

Garbage collection Garbage collection is a form of automatic memory management. The Image class will be disposed when the garbage collector considers there is no more reference to this object. Then the unmanaged structure will be released from the memory, conserving the limited memory on streaming applications. We propose to call the Dispose() method by ourselves if we are dealing with a huge image. Don't forget that we have the using keyword to limit the scope of the object like this: using (Image img1 = new Image(320, 240)) { ...

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