Python Image Processing Cookbook: Over 60 recipes to help you perform complex image processing and computer vision tasks with ease
by: Sandipan Dey
Print Length 页数: 438 pages
Publisher finelybook 出版社: Packt Publishing (17 April 2020)
Language 语言: English
ISBN-10: 1789537142
ISBN-13: 9781789537147
Book Description
By finelybook
Explore Keras,scikit-image,OpenCV,Matplotlib,and many other Python tools and frameworks to solve real-world image processing problems
With advancements in wireless devices and mobile technology,there’s an ever-increasing demand for digital image processing skills to extract useful information from the ever-growing volume of images. This book provides comprehensive coverage of tools,algorithms,analysis,and visualization for image processing.
With the help of over 60 cutting-edge recipes,you’ll address common challenges in image processing and learn how to perform complex tasks such as image detection,image segmentation,and image reconstruction using large hybrid data sets. This book will also guide you in implementing various image enhancement and image restoration techniques such as cartooning,gradient blending,and sparse dictionary learning. As you advance,you’ll get to grips with face morphing and image segmentation techniques. With an emphasis on practical solutions,this book will help you to apply deep learning-based techniques such as transfer learning and fine-tuning to solve real-world problems.
By the end of this book,you’ll be equipped with the skills you need to apply image processing techniques effectively to leverage the complete capabilities of the Python ecosystem.
What you will learn
Implement supervised and unsupervised machine learning algorithms for image processing
Use deep neural network models for advanced image processing tasks
Perform key tasks like image classification,object detection,and face recognition
Apply image segmentation and registration techniques on medical images to assist doctors
Use classical image processing and deep learning methods for image restoration
Implement text detection from images to use with optical character recognition (OCR)
Get to grips with image enhancement techniques
Table of Contents
Preface
Chapter 1: Image Manipulation and Transformation
Chapter 2: Image Enhancement
Chapter 3: Image Restoration
Chapter 4: Binary lmage Processing
Chapter 5: Image Registration
Chapter 6: Image Segmentation
Chapter 7: Image Classification
Chapter 8: Object Detection in lmages
Chapter 9: Face Recognition,Image Captioning,and More
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Index
