Recommended new book Python digital image processing
Python digital image processing
—edited by Zhang Yunchu—
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This book is guided by thoroughly explaining concepts, attaching importance to methods, highlighting applications, and being easy to teach and learn. It describes technical terms related to digital image processing from semantic and mathematical perspectives, analyzes the mechanism of classical algorithms, and gives an example program.
Python was founded in the early 1990s by Guido van Rossum, a Dutchman. Because it is concise, easy to read and extensible, and has a rich ecosystem of scientific computing libraries, Python has become an important programming language relied on by hot technologies such as artificial intelligence, machine learning, neural networks, deep learning, Internet of Things, robotics, etc. OpenCV is one of the best open source computer vision library at present, providing more than 2,500 optimization algorithms, including the latest computer vision algorithm, supporting machine learning and deep learning. It is licensed by BSD and can be used for academic and commercial purposes free of charge. OpenCV is written in optimized C/C++ and provides Python wrapper for API functions, which can be used in Python programs. This book is based on Python language, using Python extension packages such as NumPy, SciPy, OpenCV-Python, Scikitimage, Pillow, Matplotlib, etc., and writes a large number of sample programs, and gives a detailed explanation of some called functions.
Readers can input and run the sample programs of each chapter under the Python interactive interpreter, or open the executable notepad file of the sample program Jupyter Notebook attached to this book, and run the sample code section by section, or they can use various Python IDEs (such as Pycharm) to create, save and run Python files. This book pays equal attention to theory and practice, and each chapter is equipped with exercises and computer exercises.
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Executive summary
This book systematically introduces the basic theory, classical algorithm and Python implementation of digital image processing. The book is divided into 10 chapters, including image data representation and basic operation, gray scale transformation, spatial filtering, frequency domain filtering, color image processing, image geometric transformation, image restoration, morphological image processing, edge detection, image segmentation, etc. Each chapter is equipped with exercises and computer exercises, and a JupyterNotebook executable notepad file is provided with PowerPoint courseware and sample programs of each chapter.
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Reader’s target
This book can be used as a textbook for digital image processing courses of artificial intelligence, electronic information engineering, communication engineering, computer science and technology, photoelectric information science and engineering, information engineering, automation, remote sensing science and technology, etc. in colleges and universities, and can also be used as a reference for relevant professional researchers and engineers.
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Introduction to the author
Zhang
transport
clear/a surname
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Table of Contents
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Book subscription information
Title: Python Digital Image Processing
ISBN：978-7-112-26448-3
ISBN: 37985
Pricing: 49 yuan
Listing time: May 2022
China Building Industry Press
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