Hands-On Image Processing with Python

Hands-On Image Processing with Python

eBook Details:

  • Paperback: 492 pages
  • Publisher: WOW! eBook (November 30, 2018)
  • Language: English
  • ISBN-10: 1789343739
  • ISBN-13: 978-1789343731

eBook Description:

Hands-On Image Processing with Python: Explore the mathematical computations and algorithms for image processing using popular Python tools and frameworks

Image processing plays an important role in our daily lives with various applications such as in social media (face detection), medical imaging (X-ray, CT-scan), security (fingerprint recognition) to robotics & space. This book will touch the core of image processing, from concepts to code using Python.

The book will start from the classical image processing techniques and explore the evolution of image processing algorithms up to the recent advances in image processing or computer vision with deep learning. We will learn how to use image processing libraries such as PIL, scikit-mage, and scipy ndimage in Python. This book will enable us to write code snippets in Python 3 and quickly implement complex image processing algorithms such as image enhancement, filtering, segmentation, object detection, and classification. We will be able to use machine learning models using the scikit-learn library and later explore deep CNN, such as VGG-19 with Keras, and we will also use an end-to-end deep learning model called YOLO for object detection. We will also cover a few advanced problems, such as image inpainting, gradient blending, variational denoising, seam carving, quilting, and morphing.

  • Perform basic data pre-processing tasks such as image denoising and spatial filtering in Python
  • Implement Fast Fourier Transform (FFT) and Frequency domain filters (e.g., Weiner) in Python
  • Do morphological image processing and segment images with different algorithms
  • Learn techniques to extract features from images and match images
  • Write Python code to implement supervised / unsupervised machine learning algorithms for image processing
  • Use deep learning models for image classification, segmentation, object detection and style transfer

By the end of this Hands-On Image Processing with Python book, we will have learned to implement various algorithms for efficient image processing.

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