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Practical Machine Learning and Image Processing

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27 February 2019
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Gain insights into image-processing methodologies and algorithms, using machine learning and neural networks in Python. This book begins with the environment setup, understanding basic image-processing terminology, and exploring Python concepts that will be useful for implementing the algorithms discussed in the book. You will then cover all the core image processing algorithms in detail before moving onto the biggest computer vision library: OpenCV. You'll see the OpenCV algorithms and how to use them for image processing. 
The next section looks at advanced machine learning and deep learning methods for image processing and classification. You'll work with concepts such as pulse coupled neural networks, AdaBoost, XG boost, and convolutional neural networks for image-specific applications. Later you'll explore how models are made in real time and then deployed using various DevOps tools. 
All the concepts in Practical Machine Learning and Image Processing are explained using real-life scenarios. After reading this book you will be able to apply image processing techniques and make machine learning models for customized application.
What You Will Learn
  • Discover image-processing algorithms and their applications using Python
  • Explore image processing using the OpenCV library
  • Use TensorFlow, scikit-learn, NumPy, and other libraries
  • Work with machine learning and deep learning algorithms for image processing
  • Apply image-processing techniques to five real-time projects

Who This Book Is For
Data scientists and software developers interested in image processing and computer vision.

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    Product Details
    ISBN-13
    9781484241486
    Author
    Himanshu Singh
    Publisher
    Springer Nature B.V.
    Published
    27 February 2019
    Format
    Paperback / softback

    This product hasn't received any reviews yet. Be the first to review this product!

    $122.75
    Ships in 3-5 business days

    Delivery estimate

    Hurry up! Current stock:

    Practical Machine Learning and Image Processing

    $122.75

    Description

    Gain insights into image-processing methodologies and algorithms, using machine learning and neural networks in Python. This book begins with the environment setup, understanding basic image-processing terminology, and exploring Python concepts that will be useful for implementing the algorithms discussed in the book. You will then cover all the core image processing algorithms in detail before moving onto the biggest computer vision library: OpenCV. You'll see the OpenCV algorithms and how to use them for image processing. 
    The next section looks at advanced machine learning and deep learning methods for image processing and classification. You'll work with concepts such as pulse coupled neural networks, AdaBoost, XG boost, and convolutional neural networks for image-specific applications. Later you'll explore how models are made in real time and then deployed using various DevOps tools. 
    All the concepts in Practical Machine Learning and Image Processing are explained using real-life scenarios. After reading this book you will be able to apply image processing techniques and make machine learning models for customized application.
    What You Will Learn
    • Discover image-processing algorithms and their applications using Python
    • Explore image processing using the OpenCV library
    • Use TensorFlow, scikit-learn, NumPy, and other libraries
    • Work with machine learning and deep learning algorithms for image processing
    • Apply image-processing techniques to five real-time projects

    Who This Book Is For
    Data scientists and software developers interested in image processing and computer vision.

    You Can Find This Title In

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