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Hands-On Image Processing with Python. Advanced Methods for Analyzing, Transforming, and Interpreting Digital Images with Expertise - Second Edition Sandipan Dey

(ebook) (audiobook) (audiobook) Książka w języku 1
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Hands-On Image Processing with Python. Advanced Methods for Analyzing, Transforming, and Interpreting Digital Images with Expertise - Second Edition Sandipan Dey - okladka książki

Hands-On Image Processing with Python. Advanced Methods for Analyzing, Transforming, and Interpreting Digital Images with Expertise - Second Edition Sandipan Dey - okladka książki

Hands-On Image Processing with Python. Advanced Methods for Analyzing, Transforming, and Interpreting Digital Images with Expertise - Second Edition Sandipan Dey - audiobook MP3

Hands-On Image Processing with Python. Advanced Methods for Analyzing, Transforming, and Interpreting Digital Images with Expertise - Second Edition Sandipan Dey - audiobook CD

Autor:
Sandipan Dey
Ocena:
Bądź pierwszym, który oceni tę książkę
Being able to process, extract information and understand an image quickly has become critical to many applications such as security, payment, healthcare, advertising, and so on. This is where this book comes in.

The book will start with the basics and guide you to go to on an advanced level by providing python reproducible implementations throughout the book. You will be proficient to write code snippets in Python 3 and quickly implement complex image processing and computer vision algorithms to solve problems in image enhancement, restoration, denoising, segmentation, classification, object detection and so on, using image processing libraries such as PIL, scikit-mage, scipy ndimage, opencv-python. You will learn to use ML models using scikit-learn and explore recent advances with deep learning models with CNNs (e.g., ResNet, Yolo) using tensorflow, keras, pytorch. You will also learn a few advanced problems such as image-to-image translation, anisotropic diffusion, generative arts. By the end of this book, you will be highly hands-on to solve problems on image processing.

This book follows a highly practical approach which that will take its readers through a set of image- processing concepts/algorithms and help them learn, in detail, how to use leading python library functions to implement these algorithms.

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O autorze książki

Sandipan Dey is a data scientist with a wide range of interests, covering topics such as machine learning, deep learning, image processing, and computer vision. He has worked in numerous data science fields, working with recommender systems, predictive models for the events industry, sensor localization models, sentiment analysis, and device prognostics. He earned his master's degree in computer science from the University of Maryland, Baltimore County, and has published in a few IEEE Data Mining conferences and journals. He has earned certifications from 100+ MOOCs on data science, machine learning, deep learning, image processing, and related courses. He is a regular blogger (sandipanweb) and is a machine learning education enthusiast.

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